Add tbb multithreading support, replace omp, and remove log files

Replace ivox library with OctVoxMap library
2026-01-05 19:52:45 +08:00 · 2026-01-03 23:36:02 +08:00
22 changed files with 7289 additions and 257 deletions
--- a/.gitignore
+++ b/.gitignore
@@ -0,0 +1,4 @@
+Log/
+build/
+install/
+log/
--- a/CMakeLists.txt
+++ b/CMakeLists.txt
@@ -1,11 +1,7 @@
 cmake_minimum_required(VERSION 3.5)
 project(point_lio)

-SET(CMAKE_BUILD_TYPE "Debug")
-
-ADD_COMPILE_OPTIONS(-std=c++17 )
-ADD_COMPILE_OPTIONS(-std=c++17 )
-set( CMAKE_CXX_FLAGS "-std=c++17 -O3" ) 
+SET(CMAKE_BUILD_TYPE "Release")

 add_definitions(-DROOT_DIR=\"${CMAKE_CURRENT_SOURCE_DIR}/\")

@@ -13,13 +9,13 @@ set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -fexceptions" )
 set(CMAKE_CXX_STANDARD 17)
 set(CMAKE_CXX_STANDARD_REQUIRED ON)
 set(CMAKE_CXX_EXTENSIONS OFF)
-set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -std=c++17 -pthread -std=c++0x -std=c++17 -fexceptions")
+set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -O3 -march=native -pthread -fexceptions")

 #add_compile_definitions(BOOST_BIND_GLOBAL_PLACEHOLDERS)

-find_package(OpenMP QUIET)
-set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} ${OpenMP_CXX_FLAGS}")
-set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS}   ${OpenMP_C_FLAGS}")
+# find_package(OpenMP QUIET)
+# set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} ${OpenMP_CXX_FLAGS}")
+# set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS}   ${OpenMP_C_FLAGS}")

 find_package(PythonLibs REQUIRED)
 find_path(MATPLOTLIB_CPP_INCLUDE_DIRS "matplotlibcpp.h")
@@ -41,6 +37,7 @@ find_package(visualization_msgs REQUIRED)

 find_package(Eigen3 REQUIRED)
 find_package(PCL REQUIRED)
+find_package(TBB REQUIRED)

 message(Eigen: ${EIGEN3_INCLUDE_DIR})

@@ -71,7 +68,7 @@ ament_target_dependencies(pointlio_mapping
        livox_ros_driver2
        visualization_msgs
 )
-target_link_libraries(pointlio_mapping ${PYTHON_LIBRARIES})
+target_link_libraries(pointlio_mapping ${PYTHON_LIBRARIES} TBB::tbb)
 target_include_directories(pointlio_mapping PRIVATE ${PYTHON_INCLUDE_DIRS})

 # Install the executable
--- a/Log/imu_pbp.txt
+++ b/Log/imu_pbp.txt
--- a/Log/mat_out.txt
+++ b/Log/mat_out.txt
--- a/Log/pos_log.txt
+++ b/Log/pos_log.txt
--- a/config/mid360.yaml
+++ b/config/mid360.yaml
@@ -4,12 +4,12 @@
        prop_at_freq_of_imu: True
        check_satu: True
        init_map_size: 1000
-        point_filter_num: 3  # Options: 1, 3
+        point_filter_num: 1  # Options: 1, 3
        space_down_sample: True
        filter_size_surf: 0.5  # Options: 0.5, 0.3, 0.2, 0.15, 0.1
        filter_size_map: 0.5  # Options: 0.5, 0.3, 0.15, 0.1
        cube_side_length: 1000.0  # Option: 1000
-        runtime_pos_log_enable: false  # Option: True
+        runtime_pos_log_enable: true  # Option: True

        common:
            lid_topic:  "/livox/lidar" 
@@ -45,7 +45,7 @@
            acc_cov_input: 0.1 # for IMU as input model
            plane_thr: 0.1 # 0.05, the threshold for plane criteria, the smaller, the flatter a plane
            match_s: 81.0
-            ivox_grid_resolution: 2.0
+            ivox_grid_resolution: 0.5
            gravity: [0.0, 0.0, -9.810] # [0.0, 9.810, 0.0] # # [0.0, 0.0, -9.787561] # gvins # 
            gravity_init: [0.0, 0.0, -9.810] # preknown gravity in the initial IMU frame for unstationary start or in the initial LiDAR frame for using without IMU
            extrinsic_T: [ 0.04165, 0.02326, -0.0284 ] # avia # [0.011, 0.02329, -0.04412] # mid360
@@ -54,7 +54,7 @@
                        0.0, 0.0, 1.0   ]

        odometry: 
-            publish_odometry_without_downsample: false
+            publish_odometry_without_downsample: true

        publish:
            path_en: true                 # false: close the path output
--- a/include/OctVoxMap/HKNN_list60_gem.h
+++ b/include/OctVoxMap/HKNN_list60_gem.h
@@ -0,0 +1,193 @@
+#pragma once
+
+#include <array>
+#include <vector>
+#include <Eigen/Core>
+
+
+
+/// The last number is useless
+static const std::array<float, 6> orders_min_dis = {
+  0.250000, 0.353553, 0.500000, 0.559017, 0.612372, 10 
+};
+static const std::array<float, 6> orders_min_dis2 = {
+  0.062500, 0.125000, 0.250000, 0.312500, 0.375000, 100
+};
+
+
+alignas(16) static const std::array<Eigen::Vector3i, 60> HKNN_neighbor_voxel = 
+{
+  Eigen::Vector3i(0, 0, 0), Eigen::Vector3i(0, -1, 0), Eigen::Vector3i(0, 0, -1), Eigen::Vector3i(-1, 0, 0), Eigen::Vector3i(-1, 0, -1), Eigen::Vector3i(0, -1, -1), 
+  Eigen::Vector3i(-1, -1, 0), Eigen::Vector3i(-1, -1, -1), Eigen::Vector3i(1, 0, 0), Eigen::Vector3i(0, 1, 0), Eigen::Vector3i(0, 0, 1), Eigen::Vector3i(0, -1, 1), 
+  Eigen::Vector3i(1, -1, 0), Eigen::Vector3i(1, 0, -1), Eigen::Vector3i(0, 1, -1), Eigen::Vector3i(-1, 1, 0), Eigen::Vector3i(-1, 0, 1), Eigen::Vector3i(-1, -1, 1), 
+  Eigen::Vector3i(-1, 1, -1), Eigen::Vector3i(1, -1, -1), Eigen::Vector3i(0, 0, -2), Eigen::Vector3i(0, 1, 1), Eigen::Vector3i(1, 1, 0), Eigen::Vector3i(1, 0, 1), 
+  Eigen::Vector3i(-2, 0, 0), Eigen::Vector3i(0, -2, 0), Eigen::Vector3i(-2, 0, -1), Eigen::Vector3i(-1, 0, -2), Eigen::Vector3i(-1, -2, 0), Eigen::Vector3i(-2, -1, 0), 
+  Eigen::Vector3i(0, -2, -1), Eigen::Vector3i(1, 1, -1), Eigen::Vector3i(-1, 1, 1), Eigen::Vector3i(1, -1, 1), Eigen::Vector3i(0, -1, -2), Eigen::Vector3i(-2, -1, -1), 
+  Eigen::Vector3i(-1, -1, -2), Eigen::Vector3i(-1, -2, -1), Eigen::Vector3i(-2, 1, 0), Eigen::Vector3i(1, -2, 0), Eigen::Vector3i(0, -2, 1), Eigen::Vector3i(0, 1, -2), 
+  Eigen::Vector3i(1, 0, -2), Eigen::Vector3i(1, 1, 1), Eigen::Vector3i(-2, 0, 1), Eigen::Vector3i(1, -1, -2), Eigen::Vector3i(1, -2, -1), Eigen::Vector3i(-2, 1, -1), 
+  Eigen::Vector3i(-2, -1, 1), Eigen::Vector3i(-1, 1, -2), Eigen::Vector3i(-1, -2, 1), Eigen::Vector3i(0, -2, -2), Eigen::Vector3i(-2, 0, -2), Eigen::Vector3i(-2, 1, 1), 
+  Eigen::Vector3i(1, 1, -2), Eigen::Vector3i(1, -2, 1), Eigen::Vector3i(-2, -2, 0), Eigen::Vector3i(-2, -1, -2), Eigen::Vector3i(-2, -2, -1), Eigen::Vector3i(-1, -2, -2), 
+  };
+
+static constexpr std::array<uint16_t, 7> flat_search_order_offsets = {{
+  0, 43, 135, 219, 321, 465, 593,
+}};
+
+static constexpr std::array<uint8_t, 593> flat_search_order = {{
+  // Group0
+  0, 8, 0, 1, 2, 3, 4, 5, 6, 7, 
+  1, 4, 2, 3, 6, 7, 
+  2, 4, 4, 5, 6, 7, 
+  3, 4, 1, 3, 5, 7, 
+  4, 2, 5, 7, 
+  5, 2, 6, 7, 
+  6, 2, 3, 7, 
+  7, 1, 7, 
+
+  // Group1
+  1, 4, 0, 1, 4, 5, 
+  2, 4, 0, 1, 2, 3, 
+  3, 4, 0, 2, 4, 6, 
+  4, 4, 1, 3, 4, 6, 
+  5, 4, 2, 3, 4, 5, 
+  6, 4, 1, 2, 5, 6, 
+  7, 3, 3, 5, 6, 
+  8, 4, 0, 2, 4, 6, 
+  9, 4, 0, 1, 4, 5, 
+  10, 4, 0, 1, 2, 3, 
+  11, 2, 2, 3, 
+  12, 2, 2, 6, 
+  13, 2, 4, 6, 
+  14, 2, 4, 5, 
+  15, 2, 1, 5, 
+  16, 2, 1, 3, 
+  17, 1, 3, 
+  18, 1, 5, 
+  19, 1, 6, 
+
+  // Group2
+  4, 2, 0, 2, 
+  5, 2, 0, 1, 
+  6, 2, 0, 4, 
+  7, 4, 0, 1, 2, 4, 
+  11, 2, 0, 1, 
+  12, 2, 0, 4, 
+  13, 2, 0, 2, 
+  14, 2, 0, 1, 
+  15, 2, 0, 4, 
+  16, 2, 0, 2, 
+  17, 3, 0, 1, 2, 
+  18, 3, 0, 1, 4, 
+  19, 3, 0, 2, 4, 
+  21, 2, 0, 1, 
+  22, 2, 0, 4, 
+  23, 2, 0, 2, 
+  31, 2, 0, 4, 
+  32, 2, 0, 1, 
+  33, 2, 0, 2, 
+  43, 1, 0, 
+
+  // Group3
+  8, 4, 1, 3, 5, 7, 
+  9, 4, 2, 3, 6, 7, 
+  10, 4, 4, 5, 6, 7, 
+  11, 2, 6, 7, 
+  12, 2, 3, 7, 
+  13, 2, 5, 7, 
+  14, 2, 6, 7, 
+  15, 2, 3, 7, 
+  16, 2, 5, 7, 
+  17, 1, 7, 
+  18, 1, 7, 
+  19, 1, 7, 
+  20, 4, 4, 5, 6, 7, 
+  24, 4, 1, 3, 5, 7, 
+  25, 4, 2, 3, 6, 7, 
+  26, 2, 5, 7, 
+  27, 2, 5, 7, 
+  28, 2, 3, 7, 
+  29, 2, 3, 7, 
+  30, 2, 6, 7, 
+  34, 2, 6, 7, 
+  35, 1, 7, 
+  36, 1, 7, 
+  37, 1, 7, 
+
+  // Group4
+  11, 2, 4, 5, 
+  12, 2, 1, 5, 
+  13, 2, 1, 3, 
+  14, 2, 2, 3, 
+  15, 2, 2, 6, 
+  16, 2, 4, 6, 
+  17, 2, 5, 6, 
+  18, 2, 3, 6, 
+  19, 2, 3, 5, 
+  21, 4, 2, 3, 4, 5, 
+  22, 4, 1, 2, 5, 6, 
+  23, 4, 1, 3, 4, 6, 
+  26, 2, 1, 3, 
+  27, 2, 4, 6, 
+  28, 2, 2, 6, 
+  29, 2, 1, 5, 
+  30, 2, 2, 3, 
+  31, 2, 5, 6, 
+  32, 2, 3, 5, 
+  33, 2, 3, 6, 
+  34, 2, 4, 5, 
+  35, 2, 3, 5, 
+  36, 2, 5, 6, 
+  37, 2, 3, 6, 
+  38, 2, 1, 5, 
+  39, 2, 2, 6, 
+  40, 2, 2, 3, 
+  41, 2, 4, 5, 
+  42, 2, 4, 6, 
+  44, 2, 1, 3, 
+  45, 1, 6, 
+  46, 1, 6, 
+  47, 1, 5, 
+  48, 1, 3, 
+  49, 1, 5, 
+  50, 1, 3, 
+
+  // Group5
+  17, 1, 4, 
+  18, 1, 2, 
+  19, 1, 1, 
+  21, 2, 6, 7, 
+  22, 2, 3, 7, 
+  23, 2, 5, 7, 
+  31, 3, 1, 2, 7, 
+  32, 3, 2, 4, 7, 
+  33, 3, 1, 4, 7, 
+  35, 1, 1, 
+  36, 1, 4, 
+  37, 1, 2, 
+  38, 2, 3, 7, 
+  39, 2, 3, 7, 
+  40, 2, 6, 7, 
+  41, 2, 6, 7, 
+  42, 2, 5, 7, 
+  43, 3, 1, 2, 4, 
+  44, 2, 5, 7, 
+  45, 2, 4, 7, 
+  46, 2, 2, 7, 
+  47, 2, 1, 7, 
+  48, 2, 1, 7, 
+  49, 2, 4, 7, 
+  50, 2, 2, 7, 
+  51, 2, 6, 7, 
+  52, 2, 5, 7, 
+  53, 1, 1, 
+  54, 1, 4, 
+  55, 1, 2, 
+  56, 2, 3, 7, 
+  57, 1, 7, 
+  58, 1, 7, 
+  59, 1, 7, 
+
+}};
+
+
+
--- a/include/OctVoxMap/OctVoxMap.hpp
+++ b/include/OctVoxMap/OctVoxMap.hpp
@@ -0,0 +1,569 @@
+
+#ifndef OctVoxMap_HPP_
+#define OctVoxMap_HPP_
+
+#include <set>
+#include <list>
+#include <queue>
+#include <vector>
+#include <memory>
+#include <cstring>
+#include <iostream>
+#include <execution>
+#include <filesystem>
+#include <unordered_map>
+#include <unordered_set>
+
+#include <Eigen/Core>
+
+#include "tsl/robin_map.h"
+#include "HKNN_list60_gem.h"
+
+
+namespace LI2Sup{
+
+template<int K, typename Point>
+class KNNHeap {
+public:
+  KNNHeap() : count(0), worst_(0), max_dist2_(0.0f) {
+    memset(dist2_, 0, sizeof(dist2_));
+  }
+
+  void reset() {
+    count = 0;
+    worst_ = 0;
+    max_dist2_ = 0.0f;
+    memset(dist2_, 0, sizeof(dist2_));
+  }
+
+  uint8_t count;
+  uint8_t worst_;
+  float max_dist2_;
+  float dist2_[K];
+  std::array<Point, K> points_;
+
+  inline void try_insert(float dist2, const Point& pt) {
+    const bool not_full = (count < K);
+    const bool should_insert = not_full || (dist2 < max_dist2_);
+    
+    if (should_insert) {
+      const uint8_t insert_idx = not_full ? count : worst_;
+      
+      dist2_[insert_idx] = dist2;
+      points_[insert_idx] = pt;
+      
+      if (not_full) {
+        count++;
+        if (dist2 > max_dist2_) {
+          max_dist2_ = dist2;
+          worst_ = insert_idx;
+        }
+      } else {
+        update_worst_unrolled();
+      }
+    }
+  }
+
+private:
+  inline void update_worst_unrolled() {
+    float d0 = dist2_[0], d1 = dist2_[1], d2 = dist2_[2], d3 = dist2_[3], d4 = dist2_[4];
+    
+    uint8_t idx01 = d0 > d1 ? 0 : 1;
+    float max01 = d0 > d1 ? d0 : d1;
+    
+    uint8_t idx23 = d2 > d3 ? 2 : 3;
+    float max23 = d2 > d3 ? d2 : d3;
+    
+    uint8_t idx0123 = max01 > max23 ? idx01 : idx23;
+    float max0123 = max01 > max23 ? max01 : max23;
+    
+    worst_ = max0123 > d4 ? idx0123 : 4;
+    max_dist2_ = max0123 > d4 ? max0123 : d4;
+  }
+
+public:
+  inline float max_dist2() const { return max_dist2_; }
+};
+
+
+template<typename Point>
+class OctVox{
+public:
+  OctVox(const Point& pt, uint8_t local_idx)
+  {
+    counts_.fill(UNINIT_MASK);
+    points_[local_idx] = pt;
+    counts_[local_idx] = 1;
+  }
+
+  ~OctVox() {}
+
+  void AddPoint(const Point& pt, uint8_t local_idx) {
+    uint8_t& count = counts_[local_idx];
+    Point& stored_point = points_[local_idx];
+    if(count == UNINIT_MASK) {
+      stored_point = pt;
+      count = 1;
+      return;
+    }
+
+    if(count >= MAX_POINTS_PER_SUBVOXEL) return;
+    if ((pt - stored_point).squaredNorm() > DISTANCE_THRESHOLD_SQ) return;
+
+    stored_point = (stored_point * count + pt) / (count + 1);
+    ++count;
+  }
+
+  bool getPoint(const uint8_t local_idx, Point& pt) const {
+    if (counts_[local_idx] == UNINIT_MASK) return false;
+    pt = points_[local_idx];
+    return true;
+  }
+
+  const Point* getPointPtr(const uint8_t local_idx) const {
+    if (counts_[local_idx] == UNINIT_MASK) return nullptr;
+    return &points_[local_idx];
+  }
+
+  static constexpr uint8_t UNINIT_MASK = 0x00;
+  static constexpr uint8_t MAX_POINTS_PER_SUBVOXEL = 20;
+  static constexpr double DISTANCE_THRESHOLD_SQ = 0.1 * 0.1;
+
+  std::array<uint8_t, 8> counts_;
+  std::array<Point, 8> points_;
+};
+
+
+
+template<typename Point, typename Scalar>
+class OctVoxMap {
+public:
+  using Ptr = std::shared_ptr<OctVoxMap>;
+  using KEY = Eigen::Vector3i;
+  using Points = std::vector<Point, Eigen::aligned_allocator<Point>>;
+  using KNNHeapType = KNNHeap<5, Point>;
+  using OctVoxType = OctVox<Point>;
+
+  struct Options {
+    float resolution      = 0.5;   
+    std::size_t capacity  = 1000000;
+
+    Options(float __resolution, std::size_t __capacity) {
+      resolution = __resolution;
+      capacity = __capacity;
+    }
+  };
+
+  
+
+  OctVoxMap() {
+    flat_search_ptrs_.reserve(flat_search_order_offsets.size());
+    for(std::size_t i = 0; i < flat_search_order_offsets.size(); i++){
+      uint16_t start = flat_search_order_offsets[i];
+      flat_search_ptrs_.push_back(const_cast<uint8_t*>(flat_search_order.data() + start));
+    }
+    group_idx_max_ = flat_search_order_offsets.size() - 1;
+  }
+  
+  ~OctVoxMap() {
+    grids_.clear();
+    data_.clear();
+  }
+  
+  OctVoxMap(Options options){
+    SetOptions(options);
+    std::cout << " ---> OctVoxMap init. Resolution: " << resolution_ 
+              << " Capacity: " << capacity_ << std::endl;
+    flat_search_ptrs_.reserve(flat_search_order_offsets.size());
+    for(std::size_t i = 0; i < flat_search_order_offsets.size(); i++){
+      uint16_t start = flat_search_order_offsets[i];
+      flat_search_ptrs_.push_back(const_cast<uint8_t*>(flat_search_order.data() + start));
+    }
+    group_idx_max_ = flat_search_order_offsets.size() - 1;
+  }
+
+  void SetOptions(const Options& options)
+  {
+    resolution_ = options.resolution;
+    capacity_ = options.capacity;
+    inv_resolution_ = 1.0 / resolution_;
+    sub_resolution_ = resolution_ / 2.0;
+    sub_inv_resolution_ = 1.0 / sub_resolution_;
+  }
+
+  void insert(const Points& cloud_world);
+  void printInfo() const;
+  void getMap(std::vector<float>&) const;
+  void saveMap() const;    // TODO:
+  void resetMap(const std::vector<float>&);
+  void clear();
+
+  void getTopK(const Point& point, KNNHeapType& top_K) const;
+
+  struct SearchCache {
+    KEY last_fine_key = KEY::Zero();
+    bool valid = false;
+    std::array<OctVoxType*, 60> voxel_ptrs;
+    uint64_t lookup_mask = 0;
+    
+    void reset() {
+        valid = false;
+        lookup_mask = 0;
+    }
+  };
+
+  void getTopK(const Point& point, KNNHeapType& top_K, SearchCache* cache) const;
+
+  void getTopK_VN(const Point& point, KNNHeapType& top_K) const;
+
+  void reset_max_group(){
+    group_idx_max_ = flat_search_order_offsets.size() - 1;
+  }
+
+  void decrease_max_group(){
+    if(group_idx_max_ > 4) group_idx_max_--;
+  }
+
+  // size_t getMemoryUsageBytes() const {
+  //   size_t bytes = 0;
+  //   bytes += sizeof(*this);
+  //   bytes += data_.size() * (sizeof(KEY) + sizeof(OctVoxType)
+  //                           + sizeof(void*) * 2); // list node pointers
+  //   bytes += grids_.size() * (sizeof(KEY) + sizeof(DATA_ITER)
+  //                             + sizeof(size_t)); // hash & pair overhead
+  //   bytes += grids_.bucket_count() * sizeof(void*); // bucket array
+  //   bytes += flat_search_ptrs_.capacity() * sizeof(uint8_t*);
+  //   return bytes;
+  // }
+
+
+private:
+  float resolution_ = 0.5;
+  float inv_resolution_ = 1.0;
+  float sub_resolution_ = 0.25;
+  float sub_inv_resolution_ = 4.0;
+  std::size_t capacity_ = 1000000;
+
+  bool reset_map_ = false;
+  int reset_map_count_ = 0;
+
+  const KEY nearby_grids_[19] = {
+    KEY(0, 0, 0),
+    KEY(-1, -1, 0), KEY(-1, 0, 0), KEY(-1, 1, 0), 
+    KEY(0, -1, 0), KEY(0, 1, 0), 
+    KEY(1, -1, 0), KEY(1, 0, 0), KEY(1, 1, 0), 
+    KEY(0, 0, -1), KEY(1, 0, -1), KEY(-1, 0, -1), 
+    KEY(0, 1, -1), KEY(0, -1, -1), 
+    KEY(0, 0, 1), KEY(1, 0, 1), KEY(-1, 0, 1), 
+    KEY(0, 1, 1), KEY(0, -1, 1)
+  };
+
+  /// HashShiftMix
+  struct HASH_VEC {
+    std::size_t operator()(const KEY &v) const {
+      size_t h = static_cast<size_t>(v[0]);
+      h ^= v[1] * 0x9e3779b9 + (h << 6) + (h >> 2);
+      h ^= v[2] * 0x85ebca6b + (h << 6) + (h >> 2);
+      return h;
+    }
+  };
+
+  using DATA_LIST = std::list<std::pair<KEY, OctVoxType>>;
+  using DATA_ITER = typename DATA_LIST::iterator;
+
+  DATA_LIST data_;
+  tsl::robin_map<KEY, DATA_ITER, HASH_VEC> grids_;
+
+  std::vector<uint8_t*> flat_search_ptrs_;
+  int group_idx_max_;
+
+};
+
+
+template<typename Point, typename Scalar>
+void OctVoxMap<Point, Scalar>::insert(const Points& cloud_world){
+  if(reset_map_){
+    reset_map_count_--;
+    if(reset_map_count_ > 0){
+      std::cout << "OctVoxMap::insert skip: reset_map_count_ = " << reset_map_count_ << std::endl;
+      return;
+    } 
+    reset_map_ = false;
+  }
+
+  for(auto& pt : cloud_world){
+    KEY fine_key = (pt * sub_inv_resolution_).array().floor().template cast<int>();
+    KEY key;
+    key[0] = fine_key[0] >> 1;
+    key[1] = fine_key[1] >> 1;
+    key[2] = fine_key[2] >> 1;
+
+    uint8_t dx = fine_key[0] & 1;
+    uint8_t dy = fine_key[1] & 1;
+    uint8_t dz = fine_key[2] & 1;
+    uint8_t local_idx = (dz << 2) | (dy << 1) | dx;
+
+    auto iter = grids_.find(key);
+    if (iter == grids_.end()) {
+      data_.emplace_front(std::piecewise_construct,
+        std::forward_as_tuple(key),
+        std::forward_as_tuple(pt, local_idx));
+      grids_.insert(std::make_pair(key, data_.begin()));
+      
+      if (data_.size() >= capacity_) {
+        grids_.erase(data_.back().first);
+        data_.pop_back();
+      }
+    } else {
+      iter->second->second.AddPoint(pt, local_idx);
+      data_.splice(data_.begin(), data_, iter->second);
+      grids_.erase(iter);
+      grids_.insert(std::make_pair(key, data_.begin()));
+    }
+  }
+}
+
+
+template<typename Point, typename Scalar>
+void OctVoxMap<Point, Scalar>::getTopK(const Point& point, KNNHeapType& top_K) const {
+  getTopK(point, top_K, nullptr);
+}
+
+template<typename Point, typename Scalar>
+void OctVoxMap<Point, Scalar>::getTopK(const Point& point, KNNHeapType& top_K, SearchCache* cache) const {
+  const KEY fine_key = (point * sub_inv_resolution_).array().floor().template cast<int>();
+  
+  bool use_cache = false;
+  if (cache) {
+      if (cache->valid && cache->last_fine_key == fine_key) {
+          use_cache = true;
+      } else {
+          cache->valid = true;
+          cache->last_fine_key = fine_key;
+          cache->lookup_mask = 0;
+      }
+  }
+
+  KEY key;
+  key[0] = fine_key[0] >> 1;
+  key[1] = fine_key[1] >> 1;
+  key[2] = fine_key[2] >> 1;
+
+  const int dx = fine_key[0] & 1;
+  const int dy = fine_key[1] & 1;
+  const int dz = fine_key[2] & 1;
+  const int local_idx = (dz << 2) | (dy << 1) | dx;
+  const KEY mirror_axis = KEY(1 - (dx << 1), 1 - (dy << 1), 1 - (dz << 1));
+  
+  const int pre_voxel_ptr_size = 8;
+  OctVoxType* top_voxels_2_search[pre_voxel_ptr_size];
+  
+  for(uint8_t i = 0; i < pre_voxel_ptr_size; ++i)
+  {
+    if (use_cache && (cache->lookup_mask & (1ULL << i))) {
+        top_voxels_2_search[i] = cache->voxel_ptrs[i];
+    } else {
+        KEY delta_key = mirror_axis.cwiseProduct(HKNN_neighbor_voxel[i]);
+        KEY n_key = key + delta_key;
+        if (auto iter = grids_.find(n_key); iter != grids_.end()) {
+            top_voxels_2_search[i] = &iter->second->second;
+        } else {
+            top_voxels_2_search[i] = nullptr;
+        }
+        if (cache) {
+            cache->voxel_ptrs[i] = top_voxels_2_search[i];
+            cache->lookup_mask |= (1ULL << i);
+        }
+    }
+  }
+
+  Point __sub_point;
+
+  for (int group_idx = 0; group_idx < group_idx_max_; ++group_idx) {
+    const uint8_t* group_it = flat_search_ptrs_[group_idx];
+    const uint8_t* group_end = flat_search_ptrs_[group_idx + 1];
+
+    while(group_it < group_end){
+      const uint8_t neighbor_idx = *group_it++;
+      uint8_t data_size = *group_it++;
+      
+      OctVoxType* voxel_ptr = nullptr;
+
+      if(neighbor_idx < pre_voxel_ptr_size)
+      {
+        voxel_ptr = top_voxels_2_search[neighbor_idx];
+      }
+      else
+      {
+        if (use_cache && (cache->lookup_mask & (1ULL << neighbor_idx))) {
+            voxel_ptr = cache->voxel_ptrs[neighbor_idx];
+        } else {
+            KEY delta_key = mirror_axis.cwiseProduct(HKNN_neighbor_voxel[neighbor_idx]);
+            const KEY n_key = key + delta_key;
+            if (auto iter = grids_.find(n_key); iter != grids_.end()){
+                voxel_ptr = &iter->second->second;
+            }
+            if (cache) {
+                cache->voxel_ptrs[neighbor_idx] = voxel_ptr;
+                cache->lookup_mask |= (1ULL << neighbor_idx);
+            }
+        }
+      }
+
+      if (voxel_ptr) {
+          const auto& counts = voxel_ptr->counts_;
+          const auto& points = voxel_ptr->points_;
+          while (data_size--) {
+            uint8_t _local_idx = (*group_it++)^local_idx;
+            if (counts[_local_idx] != OctVoxType::UNINIT_MASK) {
+              const Point& pt = points[_local_idx];
+              const float dist2 = (pt - point).squaredNorm();
+              if (top_K.count < 5 || dist2 < top_K.max_dist2_) {
+                 top_K.try_insert(dist2, pt);
+              }
+            }
+          }
+      }
+      else group_it+=data_size;
+    }
+
+    if (top_K.count == 5)
+      if (top_K.max_dist2_ < orders_min_dis2[group_idx]){
+        break;
+      }
+
+  }
+}
+
+
+template<typename Point, typename Scalar>
+void OctVoxMap<Point, Scalar>::getTopK_VN(const Point& point, KNNHeapType& top_K) const{
+  KEY key = (point * inv_resolution_).array().floor().template cast<int>();
+
+  std::vector<OctVoxType*> voxels_2_search;
+  voxels_2_search.reserve(19);
+  for(std::size_t i = 0; i < 19; ++i) {
+    KEY n_key = key + nearby_grids_[i];
+    if (auto iter = grids_.find(n_key); iter != grids_.end()) {
+      voxels_2_search.emplace_back(&iter->second->second);
+    }
+  }
+
+  for(auto& voxel : voxels_2_search) {
+    for(uint8_t _i = 0; _i < 8; ++_i) {
+      if(const Point* pt_ptr = voxel->getPointPtr(_i)) {
+        float dist2 = (*pt_ptr - point).squaredNorm();
+        top_K.try_insert(dist2, *pt_ptr);
+      }
+    }
+  }
+}
+
+
+template<typename Point, typename Scalar>
+void OctVoxMap<Point, Scalar>::getMap(std::vector<float>& output) const{
+  size_t total_points = 0;
+
+  output.clear();
+  output.reserve(total_points * 3);
+
+  Point point;
+  float pcl_point[3];
+  for (const auto& voxel_pair : data_) {
+    const OctVoxType& voxel = voxel_pair.second;
+    for(uint8_t i = 0; i < 8; ++i) {
+      if (!voxel.getPoint(i, point)) continue;
+      pcl_point[0] = static_cast<float>(point.x());
+      pcl_point[1] = static_cast<float>(point.y());
+      pcl_point[2] = static_cast<float>(point.z());
+      output.push_back(pcl_point[0]);
+      output.push_back(pcl_point[1]);
+      output.push_back(pcl_point[2]);
+    }
+  }
+}
+
+
+template<typename Point, typename Scalar>
+void OctVoxMap<Point, Scalar>::resetMap(const std::vector<float>& input){
+  if (input.empty()) return;
+  
+  clear();
+  size_t num_points = input.size() / 3;
+
+  Points cloud_world;
+  cloud_world.reserve(num_points);
+
+  for (size_t i = 0; i < num_points; ++i) {
+    Point point(input[i * 3], input[i * 3 + 1], input[i * 3 + 2]);
+    cloud_world.push_back(point);
+  }
+
+  insert(cloud_world);
+
+  reset_map_ = true;
+  reset_map_count_ = 10;
+}
+
+
+template<typename Point, typename Scalar>
+void OctVoxMap<Point, Scalar>::saveMap() const {
+
+  const std::string g_root_dir = std::string(ROOT_DIR);
+  std::string filename = g_root_dir + "map/OctVoxMap.pcd";
+
+  if (std::filesystem::exists(filename)) {
+    std::filesystem::remove(filename);
+    std::cout << "Removed existing file: " << filename << std::endl;
+  }
+
+  pcl::PointCloud<pcl::PointXYZ>::Ptr cloud(new pcl::PointCloud<pcl::PointXYZ>);
+  size_t total_points = data_.size() * 8;
+  
+  cloud->points.reserve(total_points);
+  
+  for (const auto& voxel_pair : data_) {
+    const OctVoxType& voxel = voxel_pair.second;
+    for(uint8_t i = 0; i < 8; ++i) {
+      pcl::PointXYZ pcl_point;
+      Point point;
+      if (!voxel.getPoint(i, point)) continue;
+      pcl_point.x = static_cast<float>(point.x());
+      pcl_point.y = static_cast<float>(point.y());
+      pcl_point.z = static_cast<float>(point.z());
+      cloud->points.push_back(pcl_point);
+    }
+  }
+  
+  cloud->width = cloud->points.size();
+  cloud->height = 1;
+  cloud->is_dense = true;
+  
+  int result = pcl::io::savePCDFileBinary(filename, *cloud);
+  
+  if (result == 0) {
+    std::cout << "Successfully saved " << cloud->points.size() 
+              << " points to " << filename << " (binary format)" << std::endl;
+  } else {
+    std::cerr << "Error saving point cloud to " << filename << std::endl;
+    throw std::runtime_error("Failed to save PCD file: " + filename);
+  }
+}
+
+
+template<typename Point, typename Scalar>
+void OctVoxMap<Point, Scalar>::clear() {
+  grids_.clear();
+  data_.clear();
+}
+
+
+template<typename Point, typename Scalar>
+void OctVoxMap<Point, Scalar>::printInfo() const {
+    std::cout << " ---> OctVoxMap info. Size: " << data_.size() 
+              << " Capacity: " << capacity_ << std::endl;
+}
+
+}
+
+#endif
--- a/include/OctVoxMap/OctVoxMapAdapter.hpp
+++ b/include/OctVoxMap/OctVoxMapAdapter.hpp
@@ -0,0 +1,117 @@
+#ifndef OCTVOXMAP_ADAPTER_HPP
+#define OCTVOXMAP_ADAPTER_HPP
+
+#include "OctVoxMap.hpp"
+#include <vector>
+#include <memory>
+#include <pcl/point_types.h>
+#include <Eigen/Core>
+
+// Adapter to make OctVoxMap look like IVox
+template <int dim = 3, int node_type = 0, typename PointType = pcl::PointXYZ>
+class OctVoxMapAdapter {
+public:
+    using KeyType = Eigen::Matrix<int, dim, 1>;
+    using PtType = Eigen::Matrix<float, dim, 1>;
+    using PointVector = std::vector<PointType, Eigen::aligned_allocator<PointType>>;
+    
+    // Use Eigen::Vector3f internally for OctVoxMap to avoid operator overloading issues with PCL types
+    using InternalPointType = Eigen::Matrix<float, dim, 1>;
+    using OctVoxMapType = LI2Sup::OctVoxMap<InternalPointType, float>;
+    using KNNHeapType = typename OctVoxMapType::KNNHeapType;
+    using SearchCache = typename OctVoxMapType::SearchCache;
+
+    enum class NearbyType {
+        CENTER,
+        NEARBY6,
+        NEARBY18,
+        NEARBY26
+    };
+
+    struct Options {
+        float resolution_ = 0.2;
+        float inv_resolution_ = 10.0;
+        NearbyType nearby_type_ = NearbyType::NEARBY6; // Not used by OctVoxMap
+        std::size_t capacity_ = 1000000;
+    };
+
+    explicit OctVoxMapAdapter(Options options) {
+        typename OctVoxMapType::Options oct_options(options.resolution_, options.capacity_);
+        oct_vox_map_.reset(new OctVoxMapType(oct_options));
+    }
+
+    void AddPoints(const PointVector& points_to_add) {
+        // Convert PCL points to Eigen points
+        std::vector<InternalPointType, Eigen::aligned_allocator<InternalPointType>> internal_points;
+        internal_points.reserve(points_to_add.size());
+        for (const auto& pt : points_to_add) {
+            internal_points.emplace_back(pt.x, pt.y, pt.z);
+        }
+        
+        // OctVoxMap handles downsampling internally
+        oct_vox_map_->insert(internal_points);
+    }
+
+    bool GetClosestPoint(const PointType& pt, PointVector& closest_pt, int max_num = 5, double max_range = 5.0, SearchCache* cache = nullptr) {
+        // OctVoxMap hardcodes K=5 in KNNHeap<5, Point>
+        if (max_num > 5) max_num = 5; 
+
+        InternalPointType internal_pt(pt.x, pt.y, pt.z);
+        KNNHeapType top_K;
+        
+        // OctVoxMap::getTopK takes (Point, KNNHeap&)
+        oct_vox_map_->getTopK(internal_pt, top_K, cache);
+
+        closest_pt.clear();
+        closest_pt.reserve(top_K.count);
+
+        float max_range_sq = max_range * max_range;
+        
+        for (int i = 0; i < top_K.count; ++i) {
+            if (top_K.dist2_[i] <= max_range_sq) {
+                PointType p;
+                p.x = top_K.points_[i].x();
+                p.y = top_K.points_[i].y();
+                p.z = top_K.points_[i].z();
+                // Intensity/Curvature are lost, but not needed for geometric ICP
+                closest_pt.emplace_back(p);
+            }
+        }
+        
+        return !closest_pt.empty();
+    }
+    
+    // Overload for single point NN if needed
+    bool GetClosestPoint(const PointType& pt, PointType& closest_pt) {
+        InternalPointType internal_pt(pt.x, pt.y, pt.z);
+        KNNHeapType top_K;
+        oct_vox_map_->getTopK(internal_pt, top_K);
+        if (top_K.count > 0) {
+             // Find the closest one in the heap
+             int best_idx = -1;
+             float min_dist = std::numeric_limits<float>::max();
+             for(int i=0; i<top_K.count; ++i) {
+                 if(top_K.dist2_[i] < min_dist) {
+                     min_dist = top_K.dist2_[i];
+                     best_idx = i;
+                 }
+             }
+             if (best_idx != -1) {
+                 closest_pt.x = top_K.points_[best_idx].x();
+                 closest_pt.y = top_K.points_[best_idx].y();
+                 closest_pt.z = top_K.points_[best_idx].z();
+                 return true;
+             }
+        }
+        return false;
+    }
+
+    size_t NumValidGrids() const { return 0; } 
+    size_t NumPoints() const { return 0; }
+    std::vector<float> StatGridPoints() const { return {}; }
+
+private:
+    std::shared_ptr<OctVoxMapType> oct_vox_map_;
+};
+
+#endif // OCTVOXMAP_ADAPTER_HPP
--- a/include/OctVoxMap/VoxelGridFilter.h
+++ b/include/OctVoxMap/VoxelGridFilter.h
@@ -0,0 +1,83 @@
+
+#ifndef VOXEL_GRID_CLOSEST_H
+#define VOXEL_GRID_CLOSEST_H
+
+
+#include <pcl/point_cloud.h>
+#include <Eigen/Core>
+
+#include "tsl/robin_hood.h"
+
+
+namespace LI2Sup {
+
+
+template<typename PointType>
+class VoxelGridClosest {
+private:
+  using Point = PointType;
+  using PointCloud = pcl::PointCloud<Point>;
+  using CloudPtr = typename PointCloud::Ptr;
+
+  CloudPtr cloud_;
+  float voxel_size_ = 0.5f;
+  float inv_voxel_size_ = 2.0f;
+  robin_hood::unordered_flat_map<std::size_t, std::size_t> voxel_map_;
+
+  std::vector<Point, Eigen::aligned_allocator<Point>> points_;
+  std::vector<float> dist2_;
+  const Eigen::Vector3i offset_ = Eigen::Vector3i(1000, 1000, 1000);
+
+public:
+  VoxelGridClosest() {
+    dist2_.reserve(10000);
+    points_.reserve(10000);
+    voxel_map_.reserve(10000);
+  }
+
+  void setLeafSize(float lx) {
+    voxel_size_ = lx;
+    inv_voxel_size_ = 1.0f / lx;
+  }
+
+  void setInputCloud(const CloudPtr& cloud) {
+    cloud_ = cloud;
+  }
+
+  void filter(CloudPtr& output) {
+    voxel_map_.clear();
+    dist2_.clear();
+    points_.clear();
+
+    for (const auto& pt : cloud_->points) {
+      Eigen::Vector3f pf = pt.getVector3fMap();
+      Eigen::Vector3i idx = (pf * inv_voxel_size_).array().round().cast<int>();
+      Eigen::Vector3f center = voxel_size_ * idx.cast<float>();
+      float d2 = (pf - center).squaredNorm();
+
+      idx += offset_; // Avoid negative indices
+      const std::size_t key = ((std::size_t(idx[2])) << 30) | 
+                              ((std::size_t(idx[1])) << 15) | 
+                              ( std::size_t(idx[0]));
+
+      auto it = voxel_map_.find(key);
+      if (it == voxel_map_.end()) {
+        voxel_map_.emplace(key, points_.size());
+        points_.push_back(pt);
+        dist2_.push_back(d2);
+      } else if (d2 < dist2_[it->second]) {
+        points_[it->second] = pt;
+        dist2_[it->second] = d2;
+      }
+    }
+
+    output->points.swap(points_);
+    output->width = output->points.size();
+    output->height = 1;
+    output->is_dense = true;
+    output->header = cloud_->header;
+  }
+};
+
+}
+#endif // VOXEL_GRID_CLOSEST_H
--- a/include/OctVoxMap/tsl/robin_growth_policy.h
+++ b/include/OctVoxMap/tsl/robin_growth_policy.h
@@ -0,0 +1,415 @@
+/**
+ * MIT License
+ *
+ * Copyright (c) 2017 Thibaut Goetghebuer-Planchon <tessil@gmx.com>
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to deal
+ * in the Software without restriction, including without limitation the rights
+ * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+ * copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in
+ * all copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#ifndef TSL_ROBIN_GROWTH_POLICY_H
+#define TSL_ROBIN_GROWTH_POLICY_H
+
+#include <algorithm>
+#include <array>
+#include <climits>
+#include <cmath>
+#include <cstddef>
+#include <cstdint>
+#include <iterator>
+#include <limits>
+#include <ratio>
+#include <stdexcept>
+
+// A change of the major version indicates an API and/or ABI break (change of
+// in-memory layout of the data structure)
+#define TSL_RH_VERSION_MAJOR 1
+// A change of the minor version indicates the addition of a feature without
+// impact on the API/ABI
+#define TSL_RH_VERSION_MINOR 4
+// A change of the patch version indicates a bugfix without additional
+// functionality
+#define TSL_RH_VERSION_PATCH 0
+
+#ifdef TSL_DEBUG
+#define tsl_rh_assert(expr) assert(expr)
+#else
+#define tsl_rh_assert(expr) (static_cast<void>(0))
+#endif
+
+/**
+ * If exceptions are enabled, throw the exception passed in parameter, otherwise
+ * call std::terminate.
+ */
+#if (defined(__cpp_exceptions) || defined(__EXCEPTIONS) || \
+     (defined(_MSC_VER) && defined(_CPPUNWIND))) &&        \
+    !defined(TSL_NO_EXCEPTIONS)
+#define TSL_RH_THROW_OR_TERMINATE(ex, msg) throw ex(msg)
+#else
+#define TSL_RH_NO_EXCEPTIONS
+#ifdef TSL_DEBUG
+#include <iostream>
+#define TSL_RH_THROW_OR_TERMINATE(ex, msg) \
+  do {                                     \
+    std::cerr << msg << std::endl;         \
+    std::terminate();                      \
+  } while (0)
+#else
+#define TSL_RH_THROW_OR_TERMINATE(ex, msg) std::terminate()
+#endif
+#endif
+
+#if defined(__GNUC__) || defined(__clang__)
+#define TSL_RH_LIKELY(exp) (__builtin_expect(!!(exp), true))
+#else
+#define TSL_RH_LIKELY(exp) (exp)
+#endif
+
+#define TSL_RH_UNUSED(x) static_cast<void>(x)
+
+namespace tsl {
+namespace rh {
+
+/**
+ * Grow the hash table by a factor of GrowthFactor keeping the bucket count to a
+ * power of two. It allows the table to use a mask operation instead of a modulo
+ * operation to map a hash to a bucket.
+ *
+ * GrowthFactor must be a power of two >= 2.
+ */
+template <std::size_t GrowthFactor>
+class power_of_two_growth_policy {
+ public:
+  /**
+   * Called on the hash table creation and on rehash. The number of buckets for
+   * the table is passed in parameter. This number is a minimum, the policy may
+   * update this value with a higher value if needed (but not lower).
+   *
+   * If 0 is given, min_bucket_count_in_out must still be 0 after the policy
+   * creation and bucket_for_hash must always return 0 in this case.
+   */
+  explicit power_of_two_growth_policy(std::size_t& min_bucket_count_in_out) {
+    if (min_bucket_count_in_out > max_bucket_count()) {
+      TSL_RH_THROW_OR_TERMINATE(std::length_error,
+                                "The hash table exceeds its maximum size.");
+    }
+
+    if (min_bucket_count_in_out > 0) {
+      min_bucket_count_in_out =
+          round_up_to_power_of_two(min_bucket_count_in_out);
+      m_mask = min_bucket_count_in_out - 1;
+    } else {
+      m_mask = 0;
+    }
+  }
+
+  /**
+   * Return the bucket [0, bucket_count()) to which the hash belongs.
+   * If bucket_count() is 0, it must always return 0.
+   */
+  std::size_t bucket_for_hash(std::size_t hash) const noexcept {
+    return hash & m_mask;
+  }
+
+  /**
+   * Return the number of buckets that should be used on next growth.
+   */
+  std::size_t next_bucket_count() const {
+    if ((m_mask + 1) > max_bucket_count() / GrowthFactor) {
+      TSL_RH_THROW_OR_TERMINATE(std::length_error,
+                                "The hash table exceeds its maximum size.");
+    }
+
+    return (m_mask + 1) * GrowthFactor;
+  }
+
+  /**
+   * Return the maximum number of buckets supported by the policy.
+   */
+  std::size_t max_bucket_count() const {
+    // Largest power of two.
+    return (std::numeric_limits<std::size_t>::max() / 2) + 1;
+  }
+
+  /**
+   * Reset the growth policy as if it was created with a bucket count of 0.
+   * After a clear, the policy must always return 0 when bucket_for_hash is
+   * called.
+   */
+  void clear() noexcept { m_mask = 0; }
+
+ private:
+  static std::size_t round_up_to_power_of_two(std::size_t value) {
+    if (is_power_of_two(value)) {
+      return value;
+    }
+
+    if (value == 0) {
+      return 1;
+    }
+
+    --value;
+    for (std::size_t i = 1; i < sizeof(std::size_t) * CHAR_BIT; i *= 2) {
+      value |= value >> i;
+    }
+
+    return value + 1;
+  }
+
+  static constexpr bool is_power_of_two(std::size_t value) {
+    return value != 0 && (value & (value - 1)) == 0;
+  }
+
+ protected:
+  static_assert(is_power_of_two(GrowthFactor) && GrowthFactor >= 2,
+                "GrowthFactor must be a power of two >= 2.");
+
+  std::size_t m_mask;
+};
+
+/**
+ * Grow the hash table by GrowthFactor::num / GrowthFactor::den and use a modulo
+ * to map a hash to a bucket. Slower but it can be useful if you want a slower
+ * growth.
+ */
+template <class GrowthFactor = std::ratio<3, 2>>
+class mod_growth_policy {
+ public:
+  explicit mod_growth_policy(std::size_t& min_bucket_count_in_out) {
+    if (min_bucket_count_in_out > max_bucket_count()) {
+      TSL_RH_THROW_OR_TERMINATE(std::length_error,
+                                "The hash table exceeds its maximum size.");
+    }
+
+    if (min_bucket_count_in_out > 0) {
+      m_mod = min_bucket_count_in_out;
+    } else {
+      m_mod = 1;
+    }
+  }
+
+  std::size_t bucket_for_hash(std::size_t hash) const noexcept {
+    return hash % m_mod;
+  }
+
+  std::size_t next_bucket_count() const {
+    if (m_mod == max_bucket_count()) {
+      TSL_RH_THROW_OR_TERMINATE(std::length_error,
+                                "The hash table exceeds its maximum size.");
+    }
+
+    const double next_bucket_count =
+        std::ceil(double(m_mod) * REHASH_SIZE_MULTIPLICATION_FACTOR);
+    if (!std::isnormal(next_bucket_count)) {
+      TSL_RH_THROW_OR_TERMINATE(std::length_error,
+                                "The hash table exceeds its maximum size.");
+    }
+
+    if (next_bucket_count > double(max_bucket_count())) {
+      return max_bucket_count();
+    } else {
+      return std::size_t(next_bucket_count);
+    }
+  }
+
+  std::size_t max_bucket_count() const { return MAX_BUCKET_COUNT; }
+
+  void clear() noexcept { m_mod = 1; }
+
+ private:
+  static constexpr double REHASH_SIZE_MULTIPLICATION_FACTOR =
+      1.0 * GrowthFactor::num / GrowthFactor::den;
+  static const std::size_t MAX_BUCKET_COUNT =
+      std::size_t(double(std::numeric_limits<std::size_t>::max() /
+                         REHASH_SIZE_MULTIPLICATION_FACTOR));
+
+  static_assert(REHASH_SIZE_MULTIPLICATION_FACTOR >= 1.1,
+                "Growth factor should be >= 1.1.");
+
+  std::size_t m_mod;
+};
+
+namespace detail {
+
+#if SIZE_MAX >= ULLONG_MAX
+#define TSL_RH_NB_PRIMES 51
+#elif SIZE_MAX >= ULONG_MAX
+#define TSL_RH_NB_PRIMES 40
+#else
+#define TSL_RH_NB_PRIMES 23
+#endif
+
+inline constexpr std::array<std::size_t, TSL_RH_NB_PRIMES> PRIMES = {{
+    1u,
+    5u,
+    17u,
+    29u,
+    37u,
+    53u,
+    67u,
+    79u,
+    97u,
+    131u,
+    193u,
+    257u,
+    389u,
+    521u,
+    769u,
+    1031u,
+    1543u,
+    2053u,
+    3079u,
+    6151u,
+    12289u,
+    24593u,
+    49157u,
+#if SIZE_MAX >= ULONG_MAX
+    98317ul,
+    196613ul,
+    393241ul,
+    786433ul,
+    1572869ul,
+    3145739ul,
+    6291469ul,
+    12582917ul,
+    25165843ul,
+    50331653ul,
+    100663319ul,
+    201326611ul,
+    402653189ul,
+    805306457ul,
+    1610612741ul,
+    3221225473ul,
+    4294967291ul,
+#endif
+#if SIZE_MAX >= ULLONG_MAX
+    6442450939ull,
+    12884901893ull,
+    25769803751ull,
+    51539607551ull,
+    103079215111ull,
+    206158430209ull,
+    412316860441ull,
+    824633720831ull,
+    1649267441651ull,
+    3298534883309ull,
+    6597069766657ull,
+#endif
+}};
+
+template <unsigned int IPrime>
+static constexpr std::size_t mod(std::size_t hash) {
+  return hash % PRIMES[IPrime];
+}
+
+// MOD_PRIME[iprime](hash) returns hash % PRIMES[iprime]. This table allows for
+// faster modulo as the compiler can optimize the modulo code better with a
+// constant known at the compilation.
+inline constexpr std::array<std::size_t (*)(std::size_t), TSL_RH_NB_PRIMES>
+    MOD_PRIME = {{
+        &mod<0>,  &mod<1>,  &mod<2>,  &mod<3>,  &mod<4>,  &mod<5>,
+        &mod<6>,  &mod<7>,  &mod<8>,  &mod<9>,  &mod<10>, &mod<11>,
+        &mod<12>, &mod<13>, &mod<14>, &mod<15>, &mod<16>, &mod<17>,
+        &mod<18>, &mod<19>, &mod<20>, &mod<21>, &mod<22>,
+#if SIZE_MAX >= ULONG_MAX
+        &mod<23>, &mod<24>, &mod<25>, &mod<26>, &mod<27>, &mod<28>,
+        &mod<29>, &mod<30>, &mod<31>, &mod<32>, &mod<33>, &mod<34>,
+        &mod<35>, &mod<36>, &mod<37>, &mod<38>, &mod<39>,
+#endif
+#if SIZE_MAX >= ULLONG_MAX
+        &mod<40>, &mod<41>, &mod<42>, &mod<43>, &mod<44>, &mod<45>,
+        &mod<46>, &mod<47>, &mod<48>, &mod<49>, &mod<50>,
+#endif
+    }};
+
+}  // namespace detail
+
+/**
+ * Grow the hash table by using prime numbers as bucket count. Slower than
+ * tsl::rh::power_of_two_growth_policy in general but will probably distribute
+ * the values around better in the buckets with a poor hash function.
+ *
+ * To allow the compiler to optimize the modulo operation, a lookup table is
+ * used with constant primes numbers.
+ *
+ * With a switch the code would look like:
+ * \code
+ * switch(iprime) { // iprime is the current prime of the hash table
+ *     case 0: hash % 5ul;
+ *             break;
+ *     case 1: hash % 17ul;
+ *             break;
+ *     case 2: hash % 29ul;
+ *             break;
+ *     ...
+ * }
+ * \endcode
+ *
+ * Due to the constant variable in the modulo the compiler is able to optimize
+ * the operation by a series of multiplications, substractions and shifts.
+ *
+ * The 'hash % 5' could become something like 'hash - (hash * 0xCCCCCCCD) >> 34)
+ * * 5' in a 64 bits environment.
+ */
+class prime_growth_policy {
+ public:
+  explicit prime_growth_policy(std::size_t& min_bucket_count_in_out) {
+    auto it_prime = std::lower_bound(
+        detail::PRIMES.begin(), detail::PRIMES.end(), min_bucket_count_in_out);
+    if (it_prime == detail::PRIMES.end()) {
+      TSL_RH_THROW_OR_TERMINATE(std::length_error,
+                                "The hash table exceeds its maximum size.");
+    }
+
+    m_iprime = static_cast<unsigned int>(
+        std::distance(detail::PRIMES.begin(), it_prime));
+    if (min_bucket_count_in_out > 0) {
+      min_bucket_count_in_out = *it_prime;
+    } else {
+      min_bucket_count_in_out = 0;
+    }
+  }
+
+  std::size_t bucket_for_hash(std::size_t hash) const noexcept {
+    return detail::MOD_PRIME[m_iprime](hash);
+  }
+
+  std::size_t next_bucket_count() const {
+    if (m_iprime + 1 >= detail::PRIMES.size()) {
+      TSL_RH_THROW_OR_TERMINATE(std::length_error,
+                                "The hash table exceeds its maximum size.");
+    }
+
+    return detail::PRIMES[m_iprime + 1];
+  }
+
+  std::size_t max_bucket_count() const { return detail::PRIMES.back(); }
+
+  void clear() noexcept { m_iprime = 0; }
+
+ private:
+  unsigned int m_iprime;
+
+  static_assert(std::numeric_limits<decltype(m_iprime)>::max() >=
+                    detail::PRIMES.size(),
+                "The type of m_iprime is not big enough.");
+};
+
+}  // namespace rh
+}  // namespace tsl
+
+#endif
--- a/include/OctVoxMap/tsl/robin_hash.h
+++ b/include/OctVoxMap/tsl/robin_hash.h
--- a/include/OctVoxMap/tsl/robin_hood.h
+++ b/include/OctVoxMap/tsl/robin_hood.h
--- a/include/OctVoxMap/tsl/robin_map.h
+++ b/include/OctVoxMap/tsl/robin_map.h
@@ -0,0 +1,815 @@
+/**
+ * MIT License
+ *
+ * Copyright (c) 2017 Thibaut Goetghebuer-Planchon <tessil@gmx.com>
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to deal
+ * in the Software without restriction, including without limitation the rights
+ * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+ * copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in
+ * all copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#ifndef TSL_ROBIN_MAP_H
+#define TSL_ROBIN_MAP_H
+
+#include <cstddef>
+#include <functional>
+#include <initializer_list>
+#include <memory>
+#include <type_traits>
+#include <utility>
+
+#include "robin_hash.h"
+
+namespace tsl {
+
+/**
+ * Implementation of a hash map using open-addressing and the robin hood hashing
+ * algorithm with backward shift deletion.
+ *
+ * For operations modifying the hash map (insert, erase, rehash, ...), the
+ * strong exception guarantee is only guaranteed when the expression
+ * `std::is_nothrow_swappable<std::pair<Key, T>>::value &&
+ * std::is_nothrow_move_constructible<std::pair<Key, T>>::value` is true,
+ * otherwise if an exception is thrown during the swap or the move, the hash map
+ * may end up in a undefined state. Per the standard a `Key` or `T` with a
+ * noexcept copy constructor and no move constructor also satisfies the
+ * `std::is_nothrow_move_constructible<std::pair<Key, T>>::value` criterion (and
+ * will thus guarantee the strong exception for the map).
+ *
+ * When `StoreHash` is true, 32 bits of the hash are stored alongside the
+ * values. It can improve the performance during lookups if the `KeyEqual`
+ * function takes time (if it engenders a cache-miss for example) as we then
+ * compare the stored hashes before comparing the keys. When
+ * `tsl::rh::power_of_two_growth_policy` is used as `GrowthPolicy`, it may also
+ * speed-up the rehash process as we can avoid to recalculate the hash. When it
+ * is detected that storing the hash will not incur any memory penalty due to
+ * alignment (i.e. `sizeof(tsl::detail_robin_hash::bucket_entry<ValueType,
+ * true>) == sizeof(tsl::detail_robin_hash::bucket_entry<ValueType, false>)`)
+ * and `tsl::rh::power_of_two_growth_policy` is used, the hash will be stored
+ * even if `StoreHash` is false so that we can speed-up the rehash (but it will
+ * not be used on lookups unless `StoreHash` is true).
+ *
+ * `GrowthPolicy` defines how the map grows and consequently how a hash value is
+ * mapped to a bucket. By default the map uses
+ * `tsl::rh::power_of_two_growth_policy`. This policy keeps the number of
+ * buckets to a power of two and uses a mask to map the hash to a bucket instead
+ * of the slow modulo. Other growth policies are available and you may define
+ * your own growth policy, check `tsl::rh::power_of_two_growth_policy` for the
+ * interface.
+ *
+ * `std::pair<Key, T>` must be swappable.
+ *
+ * `Key` and `T` must be copy and/or move constructible.
+ *
+ * If the destructor of `Key` or `T` throws an exception, the behaviour of the
+ * class is undefined.
+ *
+ * Iterators invalidation:
+ *  - clear, operator=, reserve, rehash: always invalidate the iterators.
+ *  - insert, emplace, emplace_hint, operator[]: if there is an effective
+ * insert, invalidate the iterators.
+ *  - erase: always invalidate the iterators.
+ */
+template <class Key, class T, class Hash = std::hash<Key>,
+          class KeyEqual = std::equal_to<Key>,
+          class Allocator = std::allocator<std::pair<Key, T>>,
+          bool StoreHash = false,
+          class GrowthPolicy = tsl::rh::power_of_two_growth_policy<2>>
+class robin_map {
+ private:
+  template <typename U>
+  using has_is_transparent = tsl::detail_robin_hash::has_is_transparent<U>;
+
+  class KeySelect {
+   public:
+    using key_type = Key;
+
+    const key_type& operator()(
+        const std::pair<Key, T>& key_value) const noexcept {
+      return key_value.first;
+    }
+
+    key_type& operator()(std::pair<Key, T>& key_value) noexcept {
+      return key_value.first;
+    }
+  };
+
+  class ValueSelect {
+   public:
+    using value_type = T;
+
+    const value_type& operator()(
+        const std::pair<Key, T>& key_value) const noexcept {
+      return key_value.second;
+    }
+
+    value_type& operator()(std::pair<Key, T>& key_value) noexcept {
+      return key_value.second;
+    }
+  };
+
+  using ht = detail_robin_hash::robin_hash<std::pair<Key, T>, KeySelect,
+                                           ValueSelect, Hash, KeyEqual,
+                                           Allocator, StoreHash, GrowthPolicy>;
+
+ public:
+  using key_type = typename ht::key_type;
+  using mapped_type = T;
+  using value_type = typename ht::value_type;
+  using size_type = typename ht::size_type;
+  using difference_type = typename ht::difference_type;
+  using hasher = typename ht::hasher;
+  using key_equal = typename ht::key_equal;
+  using allocator_type = typename ht::allocator_type;
+  using reference = typename ht::reference;
+  using const_reference = typename ht::const_reference;
+  using pointer = typename ht::pointer;
+  using const_pointer = typename ht::const_pointer;
+  using iterator = typename ht::iterator;
+  using const_iterator = typename ht::const_iterator;
+
+ public:
+  /*
+   * Constructors
+   */
+  robin_map() : robin_map(ht::DEFAULT_INIT_BUCKETS_SIZE) {}
+
+  explicit robin_map(size_type bucket_count, const Hash& hash = Hash(),
+                     const KeyEqual& equal = KeyEqual(),
+                     const Allocator& alloc = Allocator())
+      : m_ht(bucket_count, hash, equal, alloc) {}
+
+  robin_map(size_type bucket_count, const Allocator& alloc)
+      : robin_map(bucket_count, Hash(), KeyEqual(), alloc) {}
+
+  robin_map(size_type bucket_count, const Hash& hash, const Allocator& alloc)
+      : robin_map(bucket_count, hash, KeyEqual(), alloc) {}
+
+  explicit robin_map(const Allocator& alloc)
+      : robin_map(ht::DEFAULT_INIT_BUCKETS_SIZE, alloc) {}
+
+  template <class InputIt>
+  robin_map(InputIt first, InputIt last,
+            size_type bucket_count = ht::DEFAULT_INIT_BUCKETS_SIZE,
+            const Hash& hash = Hash(), const KeyEqual& equal = KeyEqual(),
+            const Allocator& alloc = Allocator())
+      : robin_map(bucket_count, hash, equal, alloc) {
+    insert(first, last);
+  }
+
+  template <class InputIt>
+  robin_map(InputIt first, InputIt last, size_type bucket_count,
+            const Allocator& alloc)
+      : robin_map(first, last, bucket_count, Hash(), KeyEqual(), alloc) {}
+
+  template <class InputIt>
+  robin_map(InputIt first, InputIt last, size_type bucket_count,
+            const Hash& hash, const Allocator& alloc)
+      : robin_map(first, last, bucket_count, hash, KeyEqual(), alloc) {}
+
+  robin_map(std::initializer_list<value_type> init,
+            size_type bucket_count = ht::DEFAULT_INIT_BUCKETS_SIZE,
+            const Hash& hash = Hash(), const KeyEqual& equal = KeyEqual(),
+            const Allocator& alloc = Allocator())
+      : robin_map(init.begin(), init.end(), bucket_count, hash, equal, alloc) {}
+
+  robin_map(std::initializer_list<value_type> init, size_type bucket_count,
+            const Allocator& alloc)
+      : robin_map(init.begin(), init.end(), bucket_count, Hash(), KeyEqual(),
+                  alloc) {}
+
+  robin_map(std::initializer_list<value_type> init, size_type bucket_count,
+            const Hash& hash, const Allocator& alloc)
+      : robin_map(init.begin(), init.end(), bucket_count, hash, KeyEqual(),
+                  alloc) {}
+
+  robin_map& operator=(std::initializer_list<value_type> ilist) {
+    m_ht.clear();
+
+    m_ht.reserve(ilist.size());
+    m_ht.insert(ilist.begin(), ilist.end());
+
+    return *this;
+  }
+
+  allocator_type get_allocator() const { return m_ht.get_allocator(); }
+
+  /*
+   * Iterators
+   */
+  iterator begin() noexcept { return m_ht.begin(); }
+  const_iterator begin() const noexcept { return m_ht.begin(); }
+  const_iterator cbegin() const noexcept { return m_ht.cbegin(); }
+
+  iterator end() noexcept { return m_ht.end(); }
+  const_iterator end() const noexcept { return m_ht.end(); }
+  const_iterator cend() const noexcept { return m_ht.cend(); }
+
+  /*
+   * Capacity
+   */
+  bool empty() const noexcept { return m_ht.empty(); }
+  size_type size() const noexcept { return m_ht.size(); }
+  size_type max_size() const noexcept { return m_ht.max_size(); }
+
+  /*
+   * Modifiers
+   */
+  void clear() noexcept { m_ht.clear(); }
+
+  std::pair<iterator, bool> insert(const value_type& value) {
+    return m_ht.insert(value);
+  }
+
+  template <class P, typename std::enable_if<std::is_constructible<
+                         value_type, P&&>::value>::type* = nullptr>
+  std::pair<iterator, bool> insert(P&& value) {
+    return m_ht.emplace(std::forward<P>(value));
+  }
+
+  std::pair<iterator, bool> insert(value_type&& value) {
+    return m_ht.insert(std::move(value));
+  }
+
+  iterator insert(const_iterator hint, const value_type& value) {
+    return m_ht.insert_hint(hint, value);
+  }
+
+  template <class P, typename std::enable_if<std::is_constructible<
+                         value_type, P&&>::value>::type* = nullptr>
+  iterator insert(const_iterator hint, P&& value) {
+    return m_ht.emplace_hint(hint, std::forward<P>(value));
+  }
+
+  iterator insert(const_iterator hint, value_type&& value) {
+    return m_ht.insert_hint(hint, std::move(value));
+  }
+
+  template <class InputIt>
+  void insert(InputIt first, InputIt last) {
+    m_ht.insert(first, last);
+  }
+
+  void insert(std::initializer_list<value_type> ilist) {
+    m_ht.insert(ilist.begin(), ilist.end());
+  }
+
+  template <class M>
+  std::pair<iterator, bool> insert_or_assign(const key_type& k, M&& obj) {
+    return m_ht.insert_or_assign(k, std::forward<M>(obj));
+  }
+
+  template <class M>
+  std::pair<iterator, bool> insert_or_assign(key_type&& k, M&& obj) {
+    return m_ht.insert_or_assign(std::move(k), std::forward<M>(obj));
+  }
+
+  template <class M>
+  iterator insert_or_assign(const_iterator hint, const key_type& k, M&& obj) {
+    return m_ht.insert_or_assign(hint, k, std::forward<M>(obj));
+  }
+
+  template <class M>
+  iterator insert_or_assign(const_iterator hint, key_type&& k, M&& obj) {
+    return m_ht.insert_or_assign(hint, std::move(k), std::forward<M>(obj));
+  }
+
+  /**
+   * Due to the way elements are stored, emplace will need to move or copy the
+   * key-value once. The method is equivalent to
+   * insert(value_type(std::forward<Args>(args)...));
+   *
+   * Mainly here for compatibility with the std::unordered_map interface.
+   */
+  template <class... Args>
+  std::pair<iterator, bool> emplace(Args&&... args) {
+    return m_ht.emplace(std::forward<Args>(args)...);
+  }
+
+  /**
+   * Due to the way elements are stored, emplace_hint will need to move or copy
+   * the key-value once. The method is equivalent to insert(hint,
+   * value_type(std::forward<Args>(args)...));
+   *
+   * Mainly here for compatibility with the std::unordered_map interface.
+   */
+  template <class... Args>
+  iterator emplace_hint(const_iterator hint, Args&&... args) {
+    return m_ht.emplace_hint(hint, std::forward<Args>(args)...);
+  }
+
+  template <class... Args>
+  std::pair<iterator, bool> try_emplace(const key_type& k, Args&&... args) {
+    return m_ht.try_emplace(k, std::forward<Args>(args)...);
+  }
+
+  template <class... Args>
+  std::pair<iterator, bool> try_emplace(key_type&& k, Args&&... args) {
+    return m_ht.try_emplace(std::move(k), std::forward<Args>(args)...);
+  }
+
+  template <class... Args>
+  iterator try_emplace(const_iterator hint, const key_type& k, Args&&... args) {
+    return m_ht.try_emplace_hint(hint, k, std::forward<Args>(args)...);
+  }
+
+  template <class... Args>
+  iterator try_emplace(const_iterator hint, key_type&& k, Args&&... args) {
+    return m_ht.try_emplace_hint(hint, std::move(k),
+                                 std::forward<Args>(args)...);
+  }
+
+  iterator erase(iterator pos) { return m_ht.erase(pos); }
+  iterator erase(const_iterator pos) { return m_ht.erase(pos); }
+  iterator erase(const_iterator first, const_iterator last) {
+    return m_ht.erase(first, last);
+  }
+  size_type erase(const key_type& key) { return m_ht.erase(key); }
+
+  /**
+   * Erase the element at position 'pos'. In contrast to the regular erase()
+   * function, erase_fast() does not return an iterator. This allows it to be
+   * faster especially in hash tables with a low load factor, where finding the
+   * next nonempty bucket would be costly.
+   */
+  void erase_fast(iterator pos) { return m_ht.erase_fast(pos); }
+
+  /**
+   * Use the hash value 'precalculated_hash' instead of hashing the key. The
+   * hash value should be the same as hash_function()(key). Useful to speed-up
+   * the lookup to the value if you already have the hash.
+   */
+  size_type erase(const key_type& key, std::size_t precalculated_hash) {
+    return m_ht.erase(key, precalculated_hash);
+  }
+
+  /**
+   * This overload only participates in the overload resolution if the typedef
+   * KeyEqual::is_transparent exists. If so, K must be hashable and comparable
+   * to Key.
+   */
+  template <
+      class K, class KE = KeyEqual,
+      typename std::enable_if<has_is_transparent<KE>::value>::type* = nullptr>
+  size_type erase(const K& key) {
+    return m_ht.erase(key);
+  }
+
+  /**
+   * @copydoc erase(const K& key)
+   *
+   * Use the hash value 'precalculated_hash' instead of hashing the key. The
+   * hash value should be the same as hash_function()(key). Useful to speed-up
+   * the lookup to the value if you already have the hash.
+   */
+  template <
+      class K, class KE = KeyEqual,
+      typename std::enable_if<has_is_transparent<KE>::value>::type* = nullptr>
+  size_type erase(const K& key, std::size_t precalculated_hash) {
+    return m_ht.erase(key, precalculated_hash);
+  }
+
+  void swap(robin_map& other) { other.m_ht.swap(m_ht); }
+
+  /*
+   * Lookup
+   */
+  T& at(const Key& key) { return m_ht.at(key); }
+
+  /**
+   * Use the hash value 'precalculated_hash' instead of hashing the key. The
+   * hash value should be the same as hash_function()(key). Useful to speed-up
+   * the lookup if you already have the hash.
+   */
+  T& at(const Key& key, std::size_t precalculated_hash) {
+    return m_ht.at(key, precalculated_hash);
+  }
+
+  const T& at(const Key& key) const { return m_ht.at(key); }
+
+  /**
+   * @copydoc at(const Key& key, std::size_t precalculated_hash)
+   */
+  const T& at(const Key& key, std::size_t precalculated_hash) const {
+    return m_ht.at(key, precalculated_hash);
+  }
+
+  /**
+   * This overload only participates in the overload resolution if the typedef
+   * KeyEqual::is_transparent exists. If so, K must be hashable and comparable
+   * to Key.
+   */
+  template <
+      class K, class KE = KeyEqual,
+      typename std::enable_if<has_is_transparent<KE>::value>::type* = nullptr>
+  T& at(const K& key) {
+    return m_ht.at(key);
+  }
+
+  /**
+   * @copydoc at(const K& key)
+   *
+   * Use the hash value 'precalculated_hash' instead of hashing the key. The
+   * hash value should be the same as hash_function()(key). Useful to speed-up
+   * the lookup if you already have the hash.
+   */
+  template <
+      class K, class KE = KeyEqual,
+      typename std::enable_if<has_is_transparent<KE>::value>::type* = nullptr>
+  T& at(const K& key, std::size_t precalculated_hash) {
+    return m_ht.at(key, precalculated_hash);
+  }
+
+  /**
+   * @copydoc at(const K& key)
+   */
+  template <
+      class K, class KE = KeyEqual,
+      typename std::enable_if<has_is_transparent<KE>::value>::type* = nullptr>
+  const T& at(const K& key) const {
+    return m_ht.at(key);
+  }
+
+  /**
+   * @copydoc at(const K& key, std::size_t precalculated_hash)
+   */
+  template <
+      class K, class KE = KeyEqual,
+      typename std::enable_if<has_is_transparent<KE>::value>::type* = nullptr>
+  const T& at(const K& key, std::size_t precalculated_hash) const {
+    return m_ht.at(key, precalculated_hash);
+  }
+
+  T& operator[](const Key& key) { return m_ht[key]; }
+  T& operator[](Key&& key) { return m_ht[std::move(key)]; }
+
+  size_type count(const Key& key) const { return m_ht.count(key); }
+
+  /**
+   * Use the hash value 'precalculated_hash' instead of hashing the key. The
+   * hash value should be the same as hash_function()(key). Useful to speed-up
+   * the lookup if you already have the hash.
+   */
+  size_type count(const Key& key, std::size_t precalculated_hash) const {
+    return m_ht.count(key, precalculated_hash);
+  }
+
+  /**
+   * This overload only participates in the overload resolution if the typedef
+   * KeyEqual::is_transparent exists. If so, K must be hashable and comparable
+   * to Key.
+   */
+  template <
+      class K, class KE = KeyEqual,
+      typename std::enable_if<has_is_transparent<KE>::value>::type* = nullptr>
+  size_type count(const K& key) const {
+    return m_ht.count(key);
+  }
+
+  /**
+   * @copydoc count(const K& key) const
+   *
+   * Use the hash value 'precalculated_hash' instead of hashing the key. The
+   * hash value should be the same as hash_function()(key). Useful to speed-up
+   * the lookup if you already have the hash.
+   */
+  template <
+      class K, class KE = KeyEqual,
+      typename std::enable_if<has_is_transparent<KE>::value>::type* = nullptr>
+  size_type count(const K& key, std::size_t precalculated_hash) const {
+    return m_ht.count(key, precalculated_hash);
+  }
+
+  iterator find(const Key& key) { return m_ht.find(key); }
+
+  /**
+   * Use the hash value 'precalculated_hash' instead of hashing the key. The
+   * hash value should be the same as hash_function()(key). Useful to speed-up
+   * the lookup if you already have the hash.
+   */
+  iterator find(const Key& key, std::size_t precalculated_hash) {
+    return m_ht.find(key, precalculated_hash);
+  }
+
+  const_iterator find(const Key& key) const { return m_ht.find(key); }
+
+  /**
+   * @copydoc find(const Key& key, std::size_t precalculated_hash)
+   */
+  const_iterator find(const Key& key, std::size_t precalculated_hash) const {
+    return m_ht.find(key, precalculated_hash);
+  }
+
+  /**
+   * This overload only participates in the overload resolution if the typedef
+   * KeyEqual::is_transparent exists. If so, K must be hashable and comparable
+   * to Key.
+   */
+  template <
+      class K, class KE = KeyEqual,
+      typename std::enable_if<has_is_transparent<KE>::value>::type* = nullptr>
+  iterator find(const K& key) {
+    return m_ht.find(key);
+  }
+
+  /**
+   * @copydoc find(const K& key)
+   *
+   * Use the hash value 'precalculated_hash' instead of hashing the key. The
+   * hash value should be the same as hash_function()(key). Useful to speed-up
+   * the lookup if you already have the hash.
+   */
+  template <
+      class K, class KE = KeyEqual,
+      typename std::enable_if<has_is_transparent<KE>::value>::type* = nullptr>
+  iterator find(const K& key, std::size_t precalculated_hash) {
+    return m_ht.find(key, precalculated_hash);
+  }
+
+  /**
+   * @copydoc find(const K& key)
+   */
+  template <
+      class K, class KE = KeyEqual,
+      typename std::enable_if<has_is_transparent<KE>::value>::type* = nullptr>
+  const_iterator find(const K& key) const {
+    return m_ht.find(key);
+  }
+
+  /**
+   * @copydoc find(const K& key)
+   *
+   * Use the hash value 'precalculated_hash' instead of hashing the key. The
+   * hash value should be the same as hash_function()(key). Useful to speed-up
+   * the lookup if you already have the hash.
+   */
+  template <
+      class K, class KE = KeyEqual,
+      typename std::enable_if<has_is_transparent<KE>::value>::type* = nullptr>
+  const_iterator find(const K& key, std::size_t precalculated_hash) const {
+    return m_ht.find(key, precalculated_hash);
+  }
+
+  bool contains(const Key& key) const { return m_ht.contains(key); }
+
+  /**
+   * Use the hash value 'precalculated_hash' instead of hashing the key. The
+   * hash value should be the same as hash_function()(key). Useful to speed-up
+   * the lookup if you already have the hash.
+   */
+  bool contains(const Key& key, std::size_t precalculated_hash) const {
+    return m_ht.contains(key, precalculated_hash);
+  }
+
+  /**
+   * This overload only participates in the overload resolution if the typedef
+   * KeyEqual::is_transparent exists. If so, K must be hashable and comparable
+   * to Key.
+   */
+  template <
+      class K, class KE = KeyEqual,
+      typename std::enable_if<has_is_transparent<KE>::value>::type* = nullptr>
+  bool contains(const K& key) const {
+    return m_ht.contains(key);
+  }
+
+  /**
+   * @copydoc contains(const K& key) const
+   *
+   * Use the hash value 'precalculated_hash' instead of hashing the key. The
+   * hash value should be the same as hash_function()(key). Useful to speed-up
+   * the lookup if you already have the hash.
+   */
+  template <
+      class K, class KE = KeyEqual,
+      typename std::enable_if<has_is_transparent<KE>::value>::type* = nullptr>
+  bool contains(const K& key, std::size_t precalculated_hash) const {
+    return m_ht.contains(key, precalculated_hash);
+  }
+
+  std::pair<iterator, iterator> equal_range(const Key& key) {
+    return m_ht.equal_range(key);
+  }
+
+  /**
+   * Use the hash value 'precalculated_hash' instead of hashing the key. The
+   * hash value should be the same as hash_function()(key). Useful to speed-up
+   * the lookup if you already have the hash.
+   */
+  std::pair<iterator, iterator> equal_range(const Key& key,
+                                            std::size_t precalculated_hash) {
+    return m_ht.equal_range(key, precalculated_hash);
+  }
+
+  std::pair<const_iterator, const_iterator> equal_range(const Key& key) const {
+    return m_ht.equal_range(key);
+  }
+
+  /**
+   * @copydoc equal_range(const Key& key, std::size_t precalculated_hash)
+   */
+  std::pair<const_iterator, const_iterator> equal_range(
+      const Key& key, std::size_t precalculated_hash) const {
+    return m_ht.equal_range(key, precalculated_hash);
+  }
+
+  /**
+   * This overload only participates in the overload resolution if the typedef
+   * KeyEqual::is_transparent exists. If so, K must be hashable and comparable
+   * to Key.
+   */
+  template <
+      class K, class KE = KeyEqual,
+      typename std::enable_if<has_is_transparent<KE>::value>::type* = nullptr>
+  std::pair<iterator, iterator> equal_range(const K& key) {
+    return m_ht.equal_range(key);
+  }
+
+  /**
+   * @copydoc equal_range(const K& key)
+   *
+   * Use the hash value 'precalculated_hash' instead of hashing the key. The
+   * hash value should be the same as hash_function()(key). Useful to speed-up
+   * the lookup if you already have the hash.
+   */
+  template <
+      class K, class KE = KeyEqual,
+      typename std::enable_if<has_is_transparent<KE>::value>::type* = nullptr>
+  std::pair<iterator, iterator> equal_range(const K& key,
+                                            std::size_t precalculated_hash) {
+    return m_ht.equal_range(key, precalculated_hash);
+  }
+
+  /**
+   * @copydoc equal_range(const K& key)
+   */
+  template <
+      class K, class KE = KeyEqual,
+      typename std::enable_if<has_is_transparent<KE>::value>::type* = nullptr>
+  std::pair<const_iterator, const_iterator> equal_range(const K& key) const {
+    return m_ht.equal_range(key);
+  }
+
+  /**
+   * @copydoc equal_range(const K& key, std::size_t precalculated_hash)
+   */
+  template <
+      class K, class KE = KeyEqual,
+      typename std::enable_if<has_is_transparent<KE>::value>::type* = nullptr>
+  std::pair<const_iterator, const_iterator> equal_range(
+      const K& key, std::size_t precalculated_hash) const {
+    return m_ht.equal_range(key, precalculated_hash);
+  }
+
+  /*
+   * Bucket interface
+   */
+  size_type bucket_count() const { return m_ht.bucket_count(); }
+  size_type max_bucket_count() const { return m_ht.max_bucket_count(); }
+
+  /*
+   *  Hash policy
+   */
+  float load_factor() const { return m_ht.load_factor(); }
+
+  float min_load_factor() const { return m_ht.min_load_factor(); }
+  float max_load_factor() const { return m_ht.max_load_factor(); }
+
+  /**
+   * Set the `min_load_factor` to `ml`. When the `load_factor` of the map goes
+   * below `min_load_factor` after some erase operations, the map will be
+   * shrunk when an insertion occurs. The erase method itself never shrinks
+   * the map.
+   *
+   * The default value of `min_load_factor` is 0.0f, the map never shrinks by
+   * default.
+   */
+  void min_load_factor(float ml) { m_ht.min_load_factor(ml); }
+  void max_load_factor(float ml) { m_ht.max_load_factor(ml); }
+
+  void rehash(size_type count_) { m_ht.rehash(count_); }
+  void reserve(size_type count_) { m_ht.reserve(count_); }
+
+  /*
+   * Observers
+   */
+  hasher hash_function() const { return m_ht.hash_function(); }
+  key_equal key_eq() const { return m_ht.key_eq(); }
+
+  /*
+   * Other
+   */
+
+  /**
+   * Convert a const_iterator to an iterator.
+   */
+  iterator mutable_iterator(const_iterator pos) {
+    return m_ht.mutable_iterator(pos);
+  }
+
+  /**
+   * Serialize the map through the `serializer` parameter.
+   *
+   * The `serializer` parameter must be a function object that supports the
+   * following call:
+   *  - `template<typename U> void operator()(const U& value);` where the types
+   * `std::int16_t`, `std::uint32_t`, `std::uint64_t`, `float` and
+   * `std::pair<Key, T>` must be supported for U.
+   *
+   * The implementation leaves binary compatibility (endianness, IEEE 754 for
+   * floats, ...) of the types it serializes in the hands of the `Serializer`
+   * function object if compatibility is required.
+   */
+  template <class Serializer>
+  void serialize(Serializer& serializer) const {
+    m_ht.serialize(serializer);
+  }
+
+  /**
+   * Deserialize a previously serialized map through the `deserializer`
+   * parameter.
+   *
+   * The `deserializer` parameter must be a function object that supports the
+   * following call:
+   *  - `template<typename U> U operator()();` where the types `std::int16_t`,
+   * `std::uint32_t`, `std::uint64_t`, `float` and `std::pair<Key, T>` must be
+   * supported for U.
+   *
+   * If the deserialized hash map type is hash compatible with the serialized
+   * map, the deserialization process can be sped up by setting
+   * `hash_compatible` to true. To be hash compatible, the Hash, KeyEqual and
+   * GrowthPolicy must behave the same way than the ones used on the serialized
+   * map and the StoreHash must have the same value. The `std::size_t` must also
+   * be of the same size as the one on the platform used to serialize the map.
+   * If these criteria are not met, the behaviour is undefined with
+   * `hash_compatible` sets to true.
+   *
+   * The behaviour is undefined if the type `Key` and `T` of the `robin_map` are
+   * not the same as the types used during serialization.
+   *
+   * The implementation leaves binary compatibility (endianness, IEEE 754 for
+   * floats, size of int, ...) of the types it deserializes in the hands of the
+   * `Deserializer` function object if compatibility is required.
+   */
+  template <class Deserializer>
+  static robin_map deserialize(Deserializer& deserializer,
+                               bool hash_compatible = false) {
+    robin_map map(0);
+    map.m_ht.deserialize(deserializer, hash_compatible);
+
+    return map;
+  }
+
+  friend bool operator==(const robin_map& lhs, const robin_map& rhs) {
+    if (lhs.size() != rhs.size()) {
+      return false;
+    }
+
+    for (const auto& element_lhs : lhs) {
+      const auto it_element_rhs = rhs.find(element_lhs.first);
+      if (it_element_rhs == rhs.cend() ||
+          element_lhs.second != it_element_rhs->second) {
+        return false;
+      }
+    }
+
+    return true;
+  }
+
+  friend bool operator!=(const robin_map& lhs, const robin_map& rhs) {
+    return !operator==(lhs, rhs);
+  }
+
+  friend void swap(robin_map& lhs, robin_map& rhs) { lhs.swap(rhs); }
+
+ private:
+  ht m_ht;
+};
+
+/**
+ * Same as `tsl::robin_map<Key, T, Hash, KeyEqual, Allocator, StoreHash,
+ * tsl::rh::prime_growth_policy>`.
+ */
+template <class Key, class T, class Hash = std::hash<Key>,
+          class KeyEqual = std::equal_to<Key>,
+          class Allocator = std::allocator<std::pair<Key, T>>,
+          bool StoreHash = false>
+using robin_pg_map = robin_map<Key, T, Hash, KeyEqual, Allocator, StoreHash,
+                               tsl::rh::prime_growth_policy>;
+
+}  // end namespace tsl
+
+#endif
--- a/include/OctVoxMap/tsl/robin_set.h
+++ b/include/OctVoxMap/tsl/robin_set.h
@@ -0,0 +1,668 @@
+/**
+ * MIT License
+ *
+ * Copyright (c) 2017 Thibaut Goetghebuer-Planchon <tessil@gmx.com>
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to deal
+ * in the Software without restriction, including without limitation the rights
+ * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+ * copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in
+ * all copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#ifndef TSL_ROBIN_SET_H
+#define TSL_ROBIN_SET_H
+
+#include <cstddef>
+#include <functional>
+#include <initializer_list>
+#include <memory>
+#include <type_traits>
+#include <utility>
+
+#include "robin_hash.h"
+
+namespace tsl {
+
+/**
+ * Implementation of a hash set using open-addressing and the robin hood hashing
+ * algorithm with backward shift deletion.
+ *
+ * For operations modifying the hash set (insert, erase, rehash, ...), the
+ * strong exception guarantee is only guaranteed when the expression
+ * `std::is_nothrow_swappable<Key>::value &&
+ * std::is_nothrow_move_constructible<Key>::value` is true, otherwise if an
+ * exception is thrown during the swap or the move, the hash set may end up in a
+ * undefined state. Per the standard a `Key` with a noexcept copy constructor
+ * and no move constructor also satisfies the
+ * `std::is_nothrow_move_constructible<Key>::value` criterion (and will thus
+ * guarantee the strong exception for the set).
+ *
+ * When `StoreHash` is true, 32 bits of the hash are stored alongside the
+ * values. It can improve the performance during lookups if the `KeyEqual`
+ * function takes time (or engenders a cache-miss for example) as we then
+ * compare the stored hashes before comparing the keys. When
+ * `tsl::rh::power_of_two_growth_policy` is used as `GrowthPolicy`, it may also
+ * speed-up the rehash process as we can avoid to recalculate the hash. When it
+ * is detected that storing the hash will not incur any memory penalty due to
+ * alignment (i.e. `sizeof(tsl::detail_robin_hash::bucket_entry<ValueType,
+ * true>) == sizeof(tsl::detail_robin_hash::bucket_entry<ValueType, false>)`)
+ * and `tsl::rh::power_of_two_growth_policy` is used, the hash will be stored
+ * even if `StoreHash` is false so that we can speed-up the rehash (but it will
+ * not be used on lookups unless `StoreHash` is true).
+ *
+ * `GrowthPolicy` defines how the set grows and consequently how a hash value is
+ * mapped to a bucket. By default the set uses
+ * `tsl::rh::power_of_two_growth_policy`. This policy keeps the number of
+ * buckets to a power of two and uses a mask to set the hash to a bucket instead
+ * of the slow modulo. Other growth policies are available and you may define
+ * your own growth policy, check `tsl::rh::power_of_two_growth_policy` for the
+ * interface.
+ *
+ * `Key` must be swappable.
+ *
+ * `Key` must be copy and/or move constructible.
+ *
+ * If the destructor of `Key` throws an exception, the behaviour of the class is
+ * undefined.
+ *
+ * Iterators invalidation:
+ *  - clear, operator=, reserve, rehash: always invalidate the iterators.
+ *  - insert, emplace, emplace_hint, operator[]: if there is an effective
+ * insert, invalidate the iterators.
+ *  - erase: always invalidate the iterators.
+ */
+template <class Key, class Hash = std::hash<Key>,
+          class KeyEqual = std::equal_to<Key>,
+          class Allocator = std::allocator<Key>, bool StoreHash = false,
+          class GrowthPolicy = tsl::rh::power_of_two_growth_policy<2>>
+class robin_set {
+ private:
+  template <typename U>
+  using has_is_transparent = tsl::detail_robin_hash::has_is_transparent<U>;
+
+  class KeySelect {
+   public:
+    using key_type = Key;
+
+    const key_type& operator()(const Key& key) const noexcept { return key; }
+
+    key_type& operator()(Key& key) noexcept { return key; }
+  };
+
+  using ht = detail_robin_hash::robin_hash<Key, KeySelect, void, Hash, KeyEqual,
+                                           Allocator, StoreHash, GrowthPolicy>;
+
+ public:
+  using key_type = typename ht::key_type;
+  using value_type = typename ht::value_type;
+  using size_type = typename ht::size_type;
+  using difference_type = typename ht::difference_type;
+  using hasher = typename ht::hasher;
+  using key_equal = typename ht::key_equal;
+  using allocator_type = typename ht::allocator_type;
+  using reference = typename ht::reference;
+  using const_reference = typename ht::const_reference;
+  using pointer = typename ht::pointer;
+  using const_pointer = typename ht::const_pointer;
+  using iterator = typename ht::iterator;
+  using const_iterator = typename ht::const_iterator;
+
+  /*
+   * Constructors
+   */
+  robin_set() : robin_set(ht::DEFAULT_INIT_BUCKETS_SIZE) {}
+
+  explicit robin_set(size_type bucket_count, const Hash& hash = Hash(),
+                     const KeyEqual& equal = KeyEqual(),
+                     const Allocator& alloc = Allocator())
+      : m_ht(bucket_count, hash, equal, alloc) {}
+
+  robin_set(size_type bucket_count, const Allocator& alloc)
+      : robin_set(bucket_count, Hash(), KeyEqual(), alloc) {}
+
+  robin_set(size_type bucket_count, const Hash& hash, const Allocator& alloc)
+      : robin_set(bucket_count, hash, KeyEqual(), alloc) {}
+
+  explicit robin_set(const Allocator& alloc)
+      : robin_set(ht::DEFAULT_INIT_BUCKETS_SIZE, alloc) {}
+
+  template <class InputIt>
+  robin_set(InputIt first, InputIt last,
+            size_type bucket_count = ht::DEFAULT_INIT_BUCKETS_SIZE,
+            const Hash& hash = Hash(), const KeyEqual& equal = KeyEqual(),
+            const Allocator& alloc = Allocator())
+      : robin_set(bucket_count, hash, equal, alloc) {
+    insert(first, last);
+  }
+
+  template <class InputIt>
+  robin_set(InputIt first, InputIt last, size_type bucket_count,
+            const Allocator& alloc)
+      : robin_set(first, last, bucket_count, Hash(), KeyEqual(), alloc) {}
+
+  template <class InputIt>
+  robin_set(InputIt first, InputIt last, size_type bucket_count,
+            const Hash& hash, const Allocator& alloc)
+      : robin_set(first, last, bucket_count, hash, KeyEqual(), alloc) {}
+
+  robin_set(std::initializer_list<value_type> init,
+            size_type bucket_count = ht::DEFAULT_INIT_BUCKETS_SIZE,
+            const Hash& hash = Hash(), const KeyEqual& equal = KeyEqual(),
+            const Allocator& alloc = Allocator())
+      : robin_set(init.begin(), init.end(), bucket_count, hash, equal, alloc) {}
+
+  robin_set(std::initializer_list<value_type> init, size_type bucket_count,
+            const Allocator& alloc)
+      : robin_set(init.begin(), init.end(), bucket_count, Hash(), KeyEqual(),
+                  alloc) {}
+
+  robin_set(std::initializer_list<value_type> init, size_type bucket_count,
+            const Hash& hash, const Allocator& alloc)
+      : robin_set(init.begin(), init.end(), bucket_count, hash, KeyEqual(),
+                  alloc) {}
+
+  robin_set& operator=(std::initializer_list<value_type> ilist) {
+    m_ht.clear();
+
+    m_ht.reserve(ilist.size());
+    m_ht.insert(ilist.begin(), ilist.end());
+
+    return *this;
+  }
+
+  allocator_type get_allocator() const { return m_ht.get_allocator(); }
+
+  /*
+   * Iterators
+   */
+  iterator begin() noexcept { return m_ht.begin(); }
+  const_iterator begin() const noexcept { return m_ht.begin(); }
+  const_iterator cbegin() const noexcept { return m_ht.cbegin(); }
+
+  iterator end() noexcept { return m_ht.end(); }
+  const_iterator end() const noexcept { return m_ht.end(); }
+  const_iterator cend() const noexcept { return m_ht.cend(); }
+
+  /*
+   * Capacity
+   */
+  bool empty() const noexcept { return m_ht.empty(); }
+  size_type size() const noexcept { return m_ht.size(); }
+  size_type max_size() const noexcept { return m_ht.max_size(); }
+
+  /*
+   * Modifiers
+   */
+  void clear() noexcept { m_ht.clear(); }
+
+  std::pair<iterator, bool> insert(const value_type& value) {
+    return m_ht.insert(value);
+  }
+
+  std::pair<iterator, bool> insert(value_type&& value) {
+    return m_ht.insert(std::move(value));
+  }
+
+  iterator insert(const_iterator hint, const value_type& value) {
+    return m_ht.insert_hint(hint, value);
+  }
+
+  iterator insert(const_iterator hint, value_type&& value) {
+    return m_ht.insert_hint(hint, std::move(value));
+  }
+
+  template <class InputIt>
+  void insert(InputIt first, InputIt last) {
+    m_ht.insert(first, last);
+  }
+
+  void insert(std::initializer_list<value_type> ilist) {
+    m_ht.insert(ilist.begin(), ilist.end());
+  }
+
+  /**
+   * Due to the way elements are stored, emplace will need to move or copy the
+   * key-value once. The method is equivalent to
+   * insert(value_type(std::forward<Args>(args)...));
+   *
+   * Mainly here for compatibility with the std::unordered_map interface.
+   */
+  template <class... Args>
+  std::pair<iterator, bool> emplace(Args&&... args) {
+    return m_ht.emplace(std::forward<Args>(args)...);
+  }
+
+  /**
+   * Due to the way elements are stored, emplace_hint will need to move or copy
+   * the key-value once. The method is equivalent to insert(hint,
+   * value_type(std::forward<Args>(args)...));
+   *
+   * Mainly here for compatibility with the std::unordered_map interface.
+   */
+  template <class... Args>
+  iterator emplace_hint(const_iterator hint, Args&&... args) {
+    return m_ht.emplace_hint(hint, std::forward<Args>(args)...);
+  }
+
+  iterator erase(iterator pos) { return m_ht.erase(pos); }
+  iterator erase(const_iterator pos) { return m_ht.erase(pos); }
+  iterator erase(const_iterator first, const_iterator last) {
+    return m_ht.erase(first, last);
+  }
+  size_type erase(const key_type& key) { return m_ht.erase(key); }
+
+  /**
+   * Erase the element at position 'pos'. In contrast to the regular erase()
+   * function, erase_fast() does not return an iterator. This allows it to be
+   * faster especially in hash sets with a low load factor, where finding the
+   * next nonempty bucket would be costly.
+   */
+  void erase_fast(iterator pos) { return m_ht.erase_fast(pos); }
+
+  /**
+   * Use the hash value 'precalculated_hash' instead of hashing the key. The
+   * hash value should be the same as hash_function()(key). Useful to speed-up
+   * the lookup to the value if you already have the hash.
+   */
+  size_type erase(const key_type& key, std::size_t precalculated_hash) {
+    return m_ht.erase(key, precalculated_hash);
+  }
+
+  /**
+   * This overload only participates in the overload resolution if the typedef
+   * KeyEqual::is_transparent exists. If so, K must be hashable and comparable
+   * to Key.
+   */
+  template <
+      class K, class KE = KeyEqual,
+      typename std::enable_if<has_is_transparent<KE>::value>::type* = nullptr>
+  size_type erase(const K& key) {
+    return m_ht.erase(key);
+  }
+
+  /**
+   * @copydoc erase(const K& key)
+   *
+   * Use the hash value 'precalculated_hash' instead of hashing the key. The
+   * hash value should be the same as hash_function()(key). Useful to speed-up
+   * the lookup to the value if you already have the hash.
+   */
+  template <
+      class K, class KE = KeyEqual,
+      typename std::enable_if<has_is_transparent<KE>::value>::type* = nullptr>
+  size_type erase(const K& key, std::size_t precalculated_hash) {
+    return m_ht.erase(key, precalculated_hash);
+  }
+
+  void swap(robin_set& other) { other.m_ht.swap(m_ht); }
+
+  /*
+   * Lookup
+   */
+  size_type count(const Key& key) const { return m_ht.count(key); }
+
+  /**
+   * Use the hash value 'precalculated_hash' instead of hashing the key. The
+   * hash value should be the same as hash_function()(key). Useful to speed-up
+   * the lookup if you already have the hash.
+   */
+  size_type count(const Key& key, std::size_t precalculated_hash) const {
+    return m_ht.count(key, precalculated_hash);
+  }
+
+  /**
+   * This overload only participates in the overload resolution if the typedef
+   * KeyEqual::is_transparent exists. If so, K must be hashable and comparable
+   * to Key.
+   */
+  template <
+      class K, class KE = KeyEqual,
+      typename std::enable_if<has_is_transparent<KE>::value>::type* = nullptr>
+  size_type count(const K& key) const {
+    return m_ht.count(key);
+  }
+
+  /**
+   * @copydoc count(const K& key) const
+   *
+   * Use the hash value 'precalculated_hash' instead of hashing the key. The
+   * hash value should be the same as hash_function()(key). Useful to speed-up
+   * the lookup if you already have the hash.
+   */
+  template <
+      class K, class KE = KeyEqual,
+      typename std::enable_if<has_is_transparent<KE>::value>::type* = nullptr>
+  size_type count(const K& key, std::size_t precalculated_hash) const {
+    return m_ht.count(key, precalculated_hash);
+  }
+
+  iterator find(const Key& key) { return m_ht.find(key); }
+
+  /**
+   * Use the hash value 'precalculated_hash' instead of hashing the key. The
+   * hash value should be the same as hash_function()(key). Useful to speed-up
+   * the lookup if you already have the hash.
+   */
+  iterator find(const Key& key, std::size_t precalculated_hash) {
+    return m_ht.find(key, precalculated_hash);
+  }
+
+  const_iterator find(const Key& key) const { return m_ht.find(key); }
+
+  /**
+   * @copydoc find(const Key& key, std::size_t precalculated_hash)
+   */
+  const_iterator find(const Key& key, std::size_t precalculated_hash) const {
+    return m_ht.find(key, precalculated_hash);
+  }
+
+  /**
+   * This overload only participates in the overload resolution if the typedef
+   * KeyEqual::is_transparent exists. If so, K must be hashable and comparable
+   * to Key.
+   */
+  template <
+      class K, class KE = KeyEqual,
+      typename std::enable_if<has_is_transparent<KE>::value>::type* = nullptr>
+  iterator find(const K& key) {
+    return m_ht.find(key);
+  }
+
+  /**
+   * @copydoc find(const K& key)
+   *
+   * Use the hash value 'precalculated_hash' instead of hashing the key. The
+   * hash value should be the same as hash_function()(key). Useful to speed-up
+   * the lookup if you already have the hash.
+   */
+  template <
+      class K, class KE = KeyEqual,
+      typename std::enable_if<has_is_transparent<KE>::value>::type* = nullptr>
+  iterator find(const K& key, std::size_t precalculated_hash) {
+    return m_ht.find(key, precalculated_hash);
+  }
+
+  /**
+   * @copydoc find(const K& key)
+   */
+  template <
+      class K, class KE = KeyEqual,
+      typename std::enable_if<has_is_transparent<KE>::value>::type* = nullptr>
+  const_iterator find(const K& key) const {
+    return m_ht.find(key);
+  }
+
+  /**
+   * @copydoc find(const K& key)
+   *
+   * Use the hash value 'precalculated_hash' instead of hashing the key. The
+   * hash value should be the same as hash_function()(key). Useful to speed-up
+   * the lookup if you already have the hash.
+   */
+  template <
+      class K, class KE = KeyEqual,
+      typename std::enable_if<has_is_transparent<KE>::value>::type* = nullptr>
+  const_iterator find(const K& key, std::size_t precalculated_hash) const {
+    return m_ht.find(key, precalculated_hash);
+  }
+
+  bool contains(const Key& key) const { return m_ht.contains(key); }
+
+  /**
+   * Use the hash value 'precalculated_hash' instead of hashing the key. The
+   * hash value should be the same as hash_function()(key). Useful to speed-up
+   * the lookup if you already have the hash.
+   */
+  bool contains(const Key& key, std::size_t precalculated_hash) const {
+    return m_ht.contains(key, precalculated_hash);
+  }
+
+  /**
+   * This overload only participates in the overload resolution if the typedef
+   * KeyEqual::is_transparent exists. If so, K must be hashable and comparable
+   * to Key.
+   */
+  template <
+      class K, class KE = KeyEqual,
+      typename std::enable_if<has_is_transparent<KE>::value>::type* = nullptr>
+  bool contains(const K& key) const {
+    return m_ht.contains(key);
+  }
+
+  /**
+   * @copydoc contains(const K& key) const
+   *
+   * Use the hash value 'precalculated_hash' instead of hashing the key. The
+   * hash value should be the same as hash_function()(key). Useful to speed-up
+   * the lookup if you already have the hash.
+   */
+  template <
+      class K, class KE = KeyEqual,
+      typename std::enable_if<has_is_transparent<KE>::value>::type* = nullptr>
+  bool contains(const K& key, std::size_t precalculated_hash) const {
+    return m_ht.contains(key, precalculated_hash);
+  }
+
+  std::pair<iterator, iterator> equal_range(const Key& key) {
+    return m_ht.equal_range(key);
+  }
+
+  /**
+   * Use the hash value 'precalculated_hash' instead of hashing the key. The
+   * hash value should be the same as hash_function()(key). Useful to speed-up
+   * the lookup if you already have the hash.
+   */
+  std::pair<iterator, iterator> equal_range(const Key& key,
+                                            std::size_t precalculated_hash) {
+    return m_ht.equal_range(key, precalculated_hash);
+  }
+
+  std::pair<const_iterator, const_iterator> equal_range(const Key& key) const {
+    return m_ht.equal_range(key);
+  }
+
+  /**
+   * @copydoc equal_range(const Key& key, std::size_t precalculated_hash)
+   */
+  std::pair<const_iterator, const_iterator> equal_range(
+      const Key& key, std::size_t precalculated_hash) const {
+    return m_ht.equal_range(key, precalculated_hash);
+  }
+
+  /**
+   * This overload only participates in the overload resolution if the typedef
+   * KeyEqual::is_transparent exists. If so, K must be hashable and comparable
+   * to Key.
+   */
+  template <
+      class K, class KE = KeyEqual,
+      typename std::enable_if<has_is_transparent<KE>::value>::type* = nullptr>
+  std::pair<iterator, iterator> equal_range(const K& key) {
+    return m_ht.equal_range(key);
+  }
+
+  /**
+   * @copydoc equal_range(const K& key)
+   *
+   * Use the hash value 'precalculated_hash' instead of hashing the key. The
+   * hash value should be the same as hash_function()(key). Useful to speed-up
+   * the lookup if you already have the hash.
+   */
+  template <
+      class K, class KE = KeyEqual,
+      typename std::enable_if<has_is_transparent<KE>::value>::type* = nullptr>
+  std::pair<iterator, iterator> equal_range(const K& key,
+                                            std::size_t precalculated_hash) {
+    return m_ht.equal_range(key, precalculated_hash);
+  }
+
+  /**
+   * @copydoc equal_range(const K& key)
+   */
+  template <
+      class K, class KE = KeyEqual,
+      typename std::enable_if<has_is_transparent<KE>::value>::type* = nullptr>
+  std::pair<const_iterator, const_iterator> equal_range(const K& key) const {
+    return m_ht.equal_range(key);
+  }
+
+  /**
+   * @copydoc equal_range(const K& key, std::size_t precalculated_hash)
+   */
+  template <
+      class K, class KE = KeyEqual,
+      typename std::enable_if<has_is_transparent<KE>::value>::type* = nullptr>
+  std::pair<const_iterator, const_iterator> equal_range(
+      const K& key, std::size_t precalculated_hash) const {
+    return m_ht.equal_range(key, precalculated_hash);
+  }
+
+  /*
+   * Bucket interface
+   */
+  size_type bucket_count() const { return m_ht.bucket_count(); }
+  size_type max_bucket_count() const { return m_ht.max_bucket_count(); }
+
+  /*
+   *  Hash policy
+   */
+  float load_factor() const { return m_ht.load_factor(); }
+
+  float min_load_factor() const { return m_ht.min_load_factor(); }
+  float max_load_factor() const { return m_ht.max_load_factor(); }
+
+  /**
+   * Set the `min_load_factor` to `ml`. When the `load_factor` of the set goes
+   * below `min_load_factor` after some erase operations, the set will be
+   * shrunk when an insertion occurs. The erase method itself never shrinks
+   * the set.
+   *
+   * The default value of `min_load_factor` is 0.0f, the set never shrinks by
+   * default.
+   */
+  void min_load_factor(float ml) { m_ht.min_load_factor(ml); }
+  void max_load_factor(float ml) { m_ht.max_load_factor(ml); }
+
+  void rehash(size_type count_) { m_ht.rehash(count_); }
+  void reserve(size_type count_) { m_ht.reserve(count_); }
+
+  /*
+   * Observers
+   */
+  hasher hash_function() const { return m_ht.hash_function(); }
+  key_equal key_eq() const { return m_ht.key_eq(); }
+
+  /*
+   * Other
+   */
+
+  /**
+   * Convert a const_iterator to an iterator.
+   */
+  iterator mutable_iterator(const_iterator pos) {
+    return m_ht.mutable_iterator(pos);
+  }
+
+  friend bool operator==(const robin_set& lhs, const robin_set& rhs) {
+    if (lhs.size() != rhs.size()) {
+      return false;
+    }
+
+    for (const auto& element_lhs : lhs) {
+      const auto it_element_rhs = rhs.find(element_lhs);
+      if (it_element_rhs == rhs.cend()) {
+        return false;
+      }
+    }
+
+    return true;
+  }
+
+  /**
+   * Serialize the set through the `serializer` parameter.
+   *
+   * The `serializer` parameter must be a function object that supports the
+   * following call:
+   *  - `template<typename U> void operator()(const U& value);` where the types
+   * `std::int16_t`, `std::uint32_t`, `std::uint64_t`, `float` and `Key` must be
+   * supported for U.
+   *
+   * The implementation leaves binary compatibility (endianness, IEEE 754 for
+   * floats, ...) of the types it serializes in the hands of the `Serializer`
+   * function object if compatibility is required.
+   */
+  template <class Serializer>
+  void serialize(Serializer& serializer) const {
+    m_ht.serialize(serializer);
+  }
+
+  /**
+   * Deserialize a previously serialized set through the `deserializer`
+   * parameter.
+   *
+   * The `deserializer` parameter must be a function object that supports the
+   * following call:
+   *  - `template<typename U> U operator()();` where the types `std::int16_t`,
+   * `std::uint32_t`, `std::uint64_t`, `float` and `Key` must be supported for
+   * U.
+   *
+   * If the deserialized hash set type is hash compatible with the serialized
+   * set, the deserialization process can be sped up by setting
+   * `hash_compatible` to true. To be hash compatible, the Hash, KeyEqual and
+   * GrowthPolicy must behave the same way than the ones used on the serialized
+   * set and the StoreHash must have the same value. The `std::size_t` must also
+   * be of the same size as the one on the platform used to serialize the set.
+   * If these criteria are not met, the behaviour is undefined with
+   * `hash_compatible` sets to true.
+   *
+   * The behaviour is undefined if the type `Key` of the `robin_set` is not the
+   * same as the type used during serialization.
+   *
+   * The implementation leaves binary compatibility (endianness, IEEE 754 for
+   * floats, size of int, ...) of the types it deserializes in the hands of the
+   * `Deserializer` function object if compatibility is required.
+   */
+  template <class Deserializer>
+  static robin_set deserialize(Deserializer& deserializer,
+                               bool hash_compatible = false) {
+    robin_set set(0);
+    set.m_ht.deserialize(deserializer, hash_compatible);
+
+    return set;
+  }
+
+  friend bool operator!=(const robin_set& lhs, const robin_set& rhs) {
+    return !operator==(lhs, rhs);
+  }
+
+  friend void swap(robin_set& lhs, robin_set& rhs) { lhs.swap(rhs); }
+
+ private:
+  ht m_ht;
+};
+
+/**
+ * Same as `tsl::robin_set<Key, Hash, KeyEqual, Allocator, StoreHash,
+ * tsl::rh::prime_growth_policy>`.
+ */
+template <class Key, class Hash = std::hash<Key>,
+          class KeyEqual = std::equal_to<Key>,
+          class Allocator = std::allocator<Key>, bool StoreHash = false>
+using robin_pg_set = robin_set<Key, Hash, KeyEqual, Allocator, StoreHash,
+                               tsl::rh::prime_growth_policy>;
+
+}  // end namespace tsl
+
+#endif
--- a/include/common_lib.h
+++ b/include/common_lib.h
@@ -11,10 +11,14 @@
 #include <tf2_eigen/tf2_eigen.hpp>
 #include <../include/IKFoM/IKFoM_toolkit/esekfom/esekfom.hpp>
 #include <queue>
+#include <chrono>

 using namespace std;
 using namespace Eigen;

+inline double get_wtime() {
+    return std::chrono::duration<double>(std::chrono::high_resolution_clock::now().time_since_epoch()).count();
+}

 typedef MTK::vect<3, double> vect3;
 typedef MTK::SO3<double> SO3;
--- a/package.xml
+++ b/package.xml
@@ -29,6 +29,7 @@
  <depend>pcl_ros</depend> <!-- For PCL support -->
  <depend>pcl_conversions</depend> <!-- For PCL support -->
  <depend>livox_ros_driver2</depend>
+  <depend>libtbb-dev</depend>

  <!-- test_depend remains the same, but make sure the testing tools you use are compatible with ROS2 -->
  <test_depend>ament_lint_auto</test_depend>
--- a/src/Estimator.cpp
+++ b/src/Estimator.cpp
@@ -1,5 +1,8 @@
 // #include <../include/IKFoM/IKFoM_toolkit/esekfom/esekfom.hpp>
 #include "Estimator.h"
+#include <tbb/parallel_for.h>
+#include <tbb/blocked_range.h>
+#include <tbb/enumerable_thread_specific.h>

 PointCloudXYZI::Ptr normvec(new PointCloudXYZI(100000, 1));
 std::vector<int> time_seq;
@@ -112,64 +115,59 @@ Eigen::Matrix<double, 30, 30> df_dx_output(state_output &s, const input_ikfom &i
 void h_model_input(state_input &s, Eigen::Matrix3d cov_p, Eigen::Matrix3d cov_R, esekfom::dyn_share_modified<double> &ekfom_data)
 {
 	bool match_in_map = false;
-	VF(4) pabcd;
-	pabcd.setZero();
 	normvec->resize(time_seq[k]);
-	int effect_num_k = 0;
-	for (int j = 0; j < time_seq[k]; j++)
-	{
-		PointType &point_body_j  = feats_down_body->points[idx+j+1];
-		PointType &point_world_j = feats_down_world->points[idx+j+1];
-		pointBodyToWorld(&point_body_j, &point_world_j); 
-		V3D p_body = pbody_list[idx+j+1];
-		double p_norm = p_body.norm();
-		V3D p_world;
-		p_world << point_world_j.x, point_world_j.y, point_world_j.z;
-		{
-			auto &points_near = Nearest_Points[idx+j+1];
-            ivox_->GetClosestPoint(point_world_j, points_near, NUM_MATCH_POINTS); // 
-			if ((points_near.size() < NUM_MATCH_POINTS)) // || pointSearchSqDis[NUM_MATCH_POINTS - 1] > 5) // 5)
-			{
-				point_selected_surf[idx+j+1] = false;
-			}
-			else
-			{
-				point_selected_surf[idx+j+1] = false;
-				if (esti_plane(pabcd, points_near, plane_thr)) //(planeValid)
-				{
-					float pd2 = fabs(pabcd(0) * point_world_j.x + pabcd(1) * point_world_j.y + pabcd(2) * point_world_j.z + pabcd(3));
-					// V3D norm_vec;
-					// M3D Rpf, pf;
-					// pf = crossmat_list[idx+j+1];
-					// // pf << SKEW_SYM_MATRX(p_body);
-					// Rpf = s.rot * pf;
-					// norm_vec << pabcd(0), pabcd(1), pabcd(2);
-					// double noise_state = norm_vec.transpose() * (cov_p+Rpf*cov_R*Rpf.transpose())  * norm_vec + sqrt(p_norm) * 0.001;
-					// // if (p_norm > match_s * pd2 * pd2)
-					// double epsilon = pd2 / sqrt(noise_state);
-					// // cout << "check epsilon:" << epsilon << endl;
-					// double weight = 1.0; // epsilon / sqrt(epsilon * epsilon+1);
-					// if (epsilon > 1.0) 
-					// {
-					// 	weight = sqrt(2 * epsilon - 1) / epsilon;
-					// 	pabcd(0) = weight * pabcd(0);
-					// 	pabcd(1) = weight * pabcd(1);
-					// 	pabcd(2) = weight * pabcd(2);
-					// 	pabcd(3) = weight * pabcd(3);
-					// }
-					if (p_norm > match_s * pd2 * pd2)
-					{
-						point_selected_surf[idx+j+1] = true;
-						normvec->points[j].x = pabcd(0);
-						normvec->points[j].y = pabcd(1);
-						normvec->points[j].z = pabcd(2);
-						normvec->points[j].intensity = pabcd(3);
-						effect_num_k ++;
-					}
-				}  
-			}
-		}
-	}
+	std::atomic<int> effect_num_k(0);
+    
+    // Grainsize set to 256 to reduce scheduler overhead
+    tbb::parallel_for(tbb::blocked_range<int>(0, time_seq[k], 256), [&](const tbb::blocked_range<int>& r) {
+        int local_effect_num = 0; // Local accumulator
+		#ifdef IVOX_NODE_TYPE_OCTVOXMAP
+        	IVoxType::SearchCache cache;
+		#endif
+        for (int j = r.begin(); j != r.end(); ++j)
+        {
+            VF(4) pabcd;
+            pabcd.setZero();
+            PointType &point_body_j  = feats_down_body->points[idx+j+1];
+            PointType &point_world_j = feats_down_world->points[idx+j+1];
+            pointBodyToWorld(&point_body_j, &point_world_j); 
+            V3D p_body = pbody_list[idx+j+1];
+            double p_norm = p_body.norm();
+            V3D p_world;
+            p_world << point_world_j.x, point_world_j.y, point_world_j.z;
+            {
+                auto &points_near = Nearest_Points[idx+j+1];
+				#ifdef IVOX_NODE_TYPE_OCTVOXMAP
+                	ivox_->GetClosestPoint(point_world_j, points_near, NUM_MATCH_POINTS, 5.0, &cache);
+				#else
+                	ivox_->GetClosestPoint(point_world_j, points_near, NUM_MATCH_POINTS); 
+				#endif
+                if ((points_near.size() < NUM_MATCH_POINTS)) // || pointSearchSqDis[NUM_MATCH_POINTS - 1] > 5) // 5)
+                {
+                    point_selected_surf[idx+j+1] = false;
+                }
+                else
+                {
+                    point_selected_surf[idx+j+1] = false;
+                    if (esti_plane(pabcd, points_near, plane_thr)) //(planeValid)
+                    {
+                        float pd2 = fabs(pabcd(0) * point_world_j.x + pabcd(1) * point_world_j.y + pabcd(2) * point_world_j.z + pabcd(3));
+                        if (p_norm > match_s * pd2 * pd2)
+                        {
+                            point_selected_surf[idx+j+1] = true;
+                            normvec->points[j].x = pabcd(0);
+                            normvec->points[j].y = pabcd(1);
+                            normvec->points[j].z = pabcd(2);
+                            normvec->points[j].intensity = pabcd(3);
+                            local_effect_num++;
+                        }
+                    }  
+                }
+            }
+        }
+        effect_num_k += local_effect_num; // Atomic update once per chunk
+    });
+
 	if (effect_num_k == 0) 
 	{
 		ekfom_data.valid = false;
@@ -218,66 +216,62 @@ void h_model_input(state_input &s, Eigen::Matrix3d cov_p, Eigen::Matrix3d cov_R,
 void h_model_output(state_output &s, Eigen::Matrix3d cov_p, Eigen::Matrix3d cov_R, esekfom::dyn_share_modified<double> &ekfom_data)
 {
 	bool match_in_map = false;
-	VF(4) pabcd;
-	pabcd.setZero();
 	normvec->resize(time_seq[k]);
-	int effect_num_k = 0;
-	for (int j = 0; j < time_seq[k]; j++)
-	{
-		PointType &point_body_j  = feats_down_body->points[idx+j+1];
-		PointType &point_world_j = feats_down_world->points[idx+j+1];
-		pointBodyToWorld(&point_body_j, &point_world_j); 
-		V3D p_body = pbody_list[idx+j+1];
-		double p_norm = p_body.norm();
-		V3D p_world;
-		p_world << point_world_j.x, point_world_j.y, point_world_j.z;
-		{
-			auto &points_near = Nearest_Points[idx+j+1];
-			
-            ivox_->GetClosestPoint(point_world_j, points_near, NUM_MATCH_POINTS); // 
-			
-			if ((points_near.size() < NUM_MATCH_POINTS)) // || pointSearchSqDis[NUM_MATCH_POINTS - 1] > 5)
-			{
-				point_selected_surf[idx+j+1] = false;
-			}
-			else
-			{
-				point_selected_surf[idx+j+1] = false;
-				if (esti_plane(pabcd, points_near, plane_thr)) //(planeValid)
-				{
-					float pd2 = fabs(pabcd(0) * point_world_j.x + pabcd(1) * point_world_j.y + pabcd(2) * point_world_j.z + pabcd(3));
-					// V3D norm_vec;
-					// M3D Rpf, pf;
-					// pf = crossmat_list[idx+j+1];
-					// // pf << SKEW_SYM_MATRX(p_body);
-					// Rpf = s.rot * pf;
-					// norm_vec << pabcd(0), pabcd(1), pabcd(2);
-					// double noise_state = norm_vec.transpose() * (cov_p+Rpf*cov_R*Rpf.transpose())  * norm_vec + sqrt(p_norm) * 0.001;
-					// // if (p_norm > match_s * pd2 * pd2)
-					// double epsilon = pd2 / sqrt(noise_state);
-					// double weight = 1.0; // epsilon / sqrt(epsilon * epsilon+1);
-					// if (epsilon > 1.0) 
-					// {
-					// 	weight = sqrt(2 * epsilon - 1) / epsilon;
-					// 	pabcd(0) = weight * pabcd(0);
-					// 	pabcd(1) = weight * pabcd(1);
-					// 	pabcd(2) = weight * pabcd(2);
-					// 	pabcd(3) = weight * pabcd(3);
-					// }
-					if (p_norm > match_s * pd2 * pd2)
-					{
-						// point_selected_surf[i] = true;
-						point_selected_surf[idx+j+1] = true;
-						normvec->points[j].x = pabcd(0);
-						normvec->points[j].y = pabcd(1);
-						normvec->points[j].z = pabcd(2);
-						normvec->points[j].intensity = pabcd(3);
-						effect_num_k ++;
-					}
-				}  
-			}
-		}
-	}
+	std::atomic<int> effect_num_k(0);
+    
+    // Grainsize set to 256 to reduce scheduler overhead
+    tbb::parallel_for(tbb::blocked_range<int>(0, time_seq[k], 256), [&](const tbb::blocked_range<int>& r) {
+        int local_effect_num = 0; // Local accumulator
+		#ifdef IVOX_NODE_TYPE_OCTVOXMAP
+			IVoxType::SearchCache cache;
+		#endif
+        for (int j = r.begin(); j != r.end(); ++j)
+        {
+            VF(4) pabcd;
+            pabcd.setZero();
+            PointType &point_body_j  = feats_down_body->points[idx+j+1];
+            PointType &point_world_j = feats_down_world->points[idx+j+1];
+            pointBodyToWorld(&point_body_j, &point_world_j); 
+            V3D p_body = pbody_list[idx+j+1];
+            double p_norm = p_body.norm();
+            V3D p_world;
+            p_world << point_world_j.x, point_world_j.y, point_world_j.z;
+            {
+                auto &points_near = Nearest_Points[idx+j+1];
+                
+				#ifdef IVOX_NODE_TYPE_OCTVOXMAP
+					ivox_->GetClosestPoint(point_world_j, points_near, NUM_MATCH_POINTS, 5.0, &cache);
+				#else
+					ivox_->GetClosestPoint(point_world_j, points_near, NUM_MATCH_POINTS); 
+				#endif
+                
+                if ((points_near.size() < NUM_MATCH_POINTS)) // || pointSearchSqDis[NUM_MATCH_POINTS - 1] > 5)
+                {
+                    point_selected_surf[idx+j+1] = false;
+                }
+                else
+                {
+                    point_selected_surf[idx+j+1] = false;
+                    if (esti_plane(pabcd, points_near, plane_thr)) //(planeValid)
+                    {
+                        float pd2 = fabs(pabcd(0) * point_world_j.x + pabcd(1) * point_world_j.y + pabcd(2) * point_world_j.z + pabcd(3));
+                        if (p_norm > match_s * pd2 * pd2)
+                        {
+                            // point_selected_surf[i] = true;
+                            point_selected_surf[idx+j+1] = true;
+                            normvec->points[j].x = pabcd(0);
+                            normvec->points[j].y = pabcd(1);
+                            normvec->points[j].z = pabcd(2);
+                            normvec->points[j].intensity = pabcd(3);
+                            local_effect_num++;
+                        }
+                    }  
+                }
+            }
+        }
+        effect_num_k += local_effect_num; // Atomic update once per chunk
+    });
+
 	if (effect_num_k == 0) 
 	{
 		ekfom_data.valid = false;
--- a/src/laserMapping.cpp
+++ b/src/laserMapping.cpp
@@ -12,6 +12,11 @@
 #include <tf2_ros/transform_broadcaster.h>
 #include "li_initialization.h"
 #include <malloc.h>
+#include <tbb/parallel_for.h>
+#include <tbb/blocked_range.h>
+#include <tbb/enumerable_thread_specific.h>
+#include <chrono>
+
 // #include <cv_bridge/cv_bridge.h>
 // #include "matplotlibcpp.h"

@@ -119,34 +124,43 @@ void pointBodyLidarToIMU(PointType const * const pi, PointType * const po)
 }

 void MapIncremental() {
-    PointVector points_to_add;
    int cur_pts = feats_down_world->size();
-    points_to_add.reserve(cur_pts);
+    tbb::enumerable_thread_specific<PointVector> points_to_add_local;

-    for (size_t i = 0; i < cur_pts; ++i) {
-        /* decide if need add to map */
-        PointType &point_world = feats_down_world->points[i];
-        if (!Nearest_Points[i].empty()) {
-            const PointVector &points_near = Nearest_Points[i];
+    // Grainsize set to 256
+    tbb::parallel_for(tbb::blocked_range<int>(0, cur_pts, 256), [&](const tbb::blocked_range<int>& r) {
+        PointVector& local_points = points_to_add_local.local();
+        for (int i = r.begin(); i != r.end(); ++i) {
+            /* decide if need add to map */
+            PointType &point_world = feats_down_world->points[i];
+            if (!Nearest_Points[i].empty()) {
+                const PointVector &points_near = Nearest_Points[i];

-            Eigen::Vector3f center =
-                ((point_world.getVector3fMap() / filter_size_map_min).array().floor() + 0.5) * filter_size_map_min;
-            bool need_add = true;
-            for (int readd_i = 0; readd_i < points_near.size(); readd_i++) {
-                Eigen::Vector3f dis_2_center = points_near[readd_i].getVector3fMap() - center;
-                if (fabs(dis_2_center.x()) < 0.5 * filter_size_map_min &&
-                    fabs(dis_2_center.y()) < 0.5 * filter_size_map_min &&
-                    fabs(dis_2_center.z()) < 0.5 * filter_size_map_min) {
-                    need_add = false;
-                    break;
+                Eigen::Vector3f center =
+                    ((point_world.getVector3fMap() / filter_size_map_min).array().floor() + 0.5) * filter_size_map_min;
+                bool need_add = true;
+                for (int readd_i = 0; readd_i < points_near.size(); readd_i++) {
+                    Eigen::Vector3f dis_2_center = points_near[readd_i].getVector3fMap() - center;
+                    if (fabs(dis_2_center.x()) < 0.5 * filter_size_map_min &&
+                        fabs(dis_2_center.y()) < 0.5 * filter_size_map_min &&
+                        fabs(dis_2_center.z()) < 0.5 * filter_size_map_min) {
+                        need_add = false;
+                        break;
+                    }
                }
+                if (need_add) {
+                    local_points.emplace_back(point_world);
+                }
+            } else {
+                local_points.emplace_back(point_world);
            }
-            if (need_add) {
-                points_to_add.emplace_back(point_world);
-            }
-        } else {
-            points_to_add.emplace_back(point_world);
        }
+    });
+
+    PointVector points_to_add;
+    points_to_add.reserve(cur_pts);
+    for (const auto& local_vec : points_to_add_local) {
+        points_to_add.insert(points_to_add.end(), local_vec.begin(), local_vec.end());
    }
    ivox_->AddPoints(points_to_add);
 }
@@ -229,11 +243,14 @@ void publish_frame_body(const rclcpp::Publisher<sensor_msgs::msg::PointCloud2>::
    int size = feats_undistort->points.size();
    PointCloudXYZI::Ptr laserCloudIMUBody(new PointCloudXYZI(size, 1));

-    for (int i = 0; i < size; i++)
-    {
-        pointBodyLidarToIMU(&feats_undistort->points[i], \
-                            &laserCloudIMUBody->points[i]);
-    }
+    // Grainsize set to 256
+    tbb::parallel_for(tbb::blocked_range<int>(0, size, 256), [&](const tbb::blocked_range<int>& r) {
+        for (int i = r.begin(); i != r.end(); ++i)
+        {
+            pointBodyLidarToIMU(&feats_undistort->points[i], \
+                                &laserCloudIMUBody->points[i]);
+        }
+    });

    sensor_msgs::msg::PointCloud2 laserCloudmsg;
    pcl::toROSMsg(*laserCloudIMUBody, laserCloudmsg);
@@ -392,12 +409,13 @@ int main(int argc, char** argv)
    signal(SIGINT, SigHandle);
    rclcpp::Rate rate(500);

+    rclcpp::executors::SingleThreadedExecutor executor;
+    executor.add_node(nh);
+
    while (rclcpp::ok())
    {
        if (flg_exit) break;

-        rclcpp::executors::SingleThreadedExecutor executor;
-        executor.add_node(nh);
        executor.spin_some();

        if(sync_packages(Measures)) 
@@ -478,10 +496,9 @@ int main(int argc, char** argv)
            solve_time = 0;
            propag_time = 0;
            update_time = 0;
-            t0 = omp_get_wtime();
+            t0 = get_wtime();
            
            /*** downsample the feature points in a scan ***/
-            t1 = omp_get_wtime();
            p_imu->Process(Measures, feats_undistort);
            if(space_down_sample)
            {
@@ -498,7 +515,7 @@ int main(int argc, char** argv)
                time_seq = time_compressing<int>(feats_down_body);
                feats_down_size = feats_down_body->points.size();
            }
-
+            t1 = get_wtime();
            if (!p_imu->after_imu_init_) // !p_imu->UseLIInit && 
            {
                if (!p_imu->imu_need_init_)
@@ -555,38 +572,41 @@ int main(int argc, char** argv)

            Nearest_Points.resize(feats_down_size);

-            t2 = omp_get_wtime();
+            t2 = get_wtime();
            
            /*** iterated state estimation ***/
-            crossmat_list.reserve(feats_down_size);
-            pbody_list.reserve(feats_down_size);
+            crossmat_list.resize(feats_down_size);
+            pbody_list.resize(feats_down_size);
            // pbody_ext_list.reserve(feats_down_size);
                          
-            for (size_t i = 0; i < feats_down_body->size(); i++)
-            {
-                V3D point_this(feats_down_body->points[i].x,
-                            feats_down_body->points[i].y,
-                            feats_down_body->points[i].z);
-                pbody_list[i]=point_this;
-                if (!extrinsic_est_en)
-                // {
-                //     if (!use_imu_as_input)
-                //     {
-                //         point_this = kf_output.x_.offset_R_L_I * point_this + kf_output.x_.offset_T_L_I;
-                //     }
-                //     else
-                //     {
-                //         point_this = kf_input.x_.offset_R_L_I * point_this + kf_input.x_.offset_T_L_I;
-                //     }
-                // }
-                // else
+            // Grainsize set to 256
+            tbb::parallel_for(tbb::blocked_range<size_t>(0, feats_down_body->size(), 256), [&](const tbb::blocked_range<size_t>& r) {
+                for (size_t i = r.begin(); i != r.end(); ++i)
                {
-                    point_this = Lidar_R_wrt_IMU * point_this + Lidar_T_wrt_IMU;
-                    M3D point_crossmat;
-                    point_crossmat << SKEW_SYM_MATRX(point_this);
-                    crossmat_list[i]=point_crossmat;
+                    V3D point_this(feats_down_body->points[i].x,
+                                feats_down_body->points[i].y,
+                                feats_down_body->points[i].z);
+                    pbody_list[i]=point_this;
+                    if (!extrinsic_est_en)
+                    // {
+                    //     if (!use_imu_as_input)
+                    //     {
+                    //         point_this = kf_output.x_.offset_R_L_I * point_this + kf_output.x_.offset_T_L_I;
+                    //     }
+                    //     else
+                    //     {
+                    //         point_this = kf_input.x_.offset_R_L_I * point_this + kf_input.x_.offset_T_L_I;
+                    //     }
+                    // }
+                    // else
+                    {
+                        point_this = Lidar_R_wrt_IMU * point_this + Lidar_T_wrt_IMU;
+                        M3D point_crossmat;
+                        point_crossmat << SKEW_SYM_MATRX(point_this);
+                        crossmat_list[i]=point_crossmat;
+                    }
                }
-            }
+            });
            if (!use_imu_as_input)
            {     
                bool imu_upda_cov = false;
@@ -658,14 +678,14 @@ int main(int argc, char** argv)
                                if (dt_cov > 0.0)
                                {
                                    time_update_last = get_time_sec(imu_next.header.stamp);
-                                    double propag_imu_start = omp_get_wtime();
+                                    double propag_imu_start = get_wtime();

                                    kf_output.predict(dt_cov, Q_output, input_in, false, true);

-                                    propag_time += omp_get_wtime() - propag_imu_start;
-                                    double solve_imu_start = omp_get_wtime();
+                                    propag_time += get_wtime() - propag_imu_start;
+                                    double solve_imu_start = get_wtime();
                                    kf_output.update_iterated_dyn_share_IMU();
-                                    solve_time += omp_get_wtime() - solve_imu_start;
+                                    solve_time += get_wtime() - solve_imu_start;
                                }
                            }
                            imu_deque.pop_front();
@@ -681,7 +701,7 @@ int main(int argc, char** argv)
                    }

                    double dt = time_current - time_predict_last_const;
-                    double propag_state_start = omp_get_wtime();
+                    double propag_state_start = get_wtime();
                    if(!prop_at_freq_of_imu)
                    {
                        double dt_cov = time_current - time_update_last;
@@ -692,9 +712,9 @@ int main(int argc, char** argv)
                        }
                    }
                    kf_output.predict(dt, Q_output, input_in, true, false);
-                    propag_time += omp_get_wtime() - propag_state_start;
+                    propag_time += get_wtime() - propag_state_start;
                    time_predict_last_const = time_current;
-                    double t_update_start = omp_get_wtime();
+                    double t_update_start = get_wtime();

                    if (feats_down_size < 1)
                    {
@@ -707,7 +727,7 @@ int main(int argc, char** argv)
                        idx = idx+time_seq[k];
                        continue;
                    }
-                    solve_start = omp_get_wtime();
+                    solve_start = get_wtime();
                        
                    if (publish_odometry_without_downsample)
                    {
@@ -729,9 +749,9 @@ int main(int argc, char** argv)
                        pointBodyToWorld(&point_body_j, &point_world_j);
                    }
                
-                    solve_time += omp_get_wtime() - solve_start;
+                    solve_time += get_wtime() - solve_start;
    
-                    update_time += omp_get_wtime() - t_update_start;
+                    update_time += get_wtime() - t_update_start;
                    idx += time_seq[k];
                    // cout << "pbp output effect feat num:" << effct_feat_num << endl;
                }
@@ -870,7 +890,7 @@ int main(int argc, char** argv)
                        }     
                        double dt = time_current - t_last;
                        t_last = time_current;
-                        double propag_start = omp_get_wtime();
+                        double propag_start = get_wtime();
                        
                        if(!prop_at_freq_of_imu)
                        {   
@@ -883,9 +903,9 @@ int main(int argc, char** argv)
                        }
                        kf_input.predict(dt, Q_input, input_in, true, false); 

-                        propag_time += omp_get_wtime() - propag_start;
+                        propag_time += get_wtime() - propag_start;

-                        double t_update_start = omp_get_wtime();
+                        double t_update_start = get_wtime();
                        
                        if (feats_down_size < 1)
                        {
@@ -900,7 +920,7 @@ int main(int argc, char** argv)
                            continue;
                        }

-                        solve_start = omp_get_wtime();
+                        solve_start = get_wtime();

                        if (publish_odometry_without_downsample)
                        {
@@ -921,9 +941,9 @@ int main(int argc, char** argv)
                            PointType &point_world_j = feats_down_world->points[idx+j+1];
                            pointBodyToWorld(&point_body_j, &point_world_j); 
                        }
-                        solve_time += omp_get_wtime() - solve_start;
+                        solve_time += get_wtime() - solve_start;
                    
-                        update_time += omp_get_wtime() - t_update_start;
+                        update_time += get_wtime() - t_update_start;
                        idx = idx + time_seq[k];
                    }  
                }
@@ -1010,14 +1030,14 @@ int main(int argc, char** argv)
            }

            /*** add the feature points to map ***/
-            t3 = omp_get_wtime();
+            t3 = get_wtime();
            
            if(feats_down_size > 4)
            {
                MapIncremental();
            }

-            t5 = omp_get_wtime();
+            t5 = get_wtime();
            /******* Publish points *******/
            if (path_en)                         publish_path(pubPath);
            if (scan_pub_en || pcd_save_en)      publish_frame_world(pubLaserCloudFullRes);
--- a/src/li_initialization.cpp
+++ b/src/li_initialization.cpp
@@ -26,7 +26,7 @@ void standard_pcl_cbk(const sensor_msgs::msg::PointCloud2::ConstSharedPtr &msg)
 {
    // mtx_buffer.lock();
    scan_count ++;
-    double preprocess_start_time = omp_get_wtime();
+    double preprocess_start_time = get_wtime();
    double msg_time = get_time_sec(msg->header.stamp);
    if (msg_time < last_timestamp_lidar)
    {
@@ -97,7 +97,7 @@ void standard_pcl_cbk(const sensor_msgs::msg::PointCloud2::ConstSharedPtr &msg)
        }
    }
    }
-    s_plot11[scan_count] = omp_get_wtime() - preprocess_start_time;
+    s_plot11[scan_count] = get_wtime() - preprocess_start_time;
    // mtx_buffer.unlock();
    // sig_buffer.notify_all();
 }
@@ -105,7 +105,7 @@ void standard_pcl_cbk(const sensor_msgs::msg::PointCloud2::ConstSharedPtr &msg)
 void livox_pcl_cbk(const livox_ros_driver2::msg::CustomMsg::ConstSharedPtr &msg) 
 {
    // mtx_buffer.lock();
-    double preprocess_start_time = omp_get_wtime();
+    double preprocess_start_time = get_wtime();
    scan_count ++;
    double msg_time = get_time_sec(msg->header.stamp);
    if (msg_time < last_timestamp_lidar)
@@ -139,45 +139,45 @@ void livox_pcl_cbk(const livox_ros_driver2::msg::CustomMsg::ConstSharedPtr &msg)
    }
    else
    {
-    PointCloudXYZI::Ptr  ptr(new PointCloudXYZI(10000,1));
-    p_pre->process(msg, ptr); 
-    if (con_frame)
-    {
-        if (frame_ct == 0)
+        PointCloudXYZI::Ptr  ptr(new PointCloudXYZI(10000,1));
+        p_pre->process(msg, ptr); 
+        if (con_frame)
        {
-            time_con = last_timestamp_lidar; //get_time_sec(msg->header.stamp);
-        }
-        if (frame_ct < 10)
-        {
-            for (int i = 0; i < ptr->size(); i++)
+            if (frame_ct == 0)
            {
-                ptr->points[i].curvature += (last_timestamp_lidar - time_con) * 1000;
-                ptr_con->push_back(ptr->points[i]);
+                time_con = last_timestamp_lidar; //get_time_sec(msg->header.stamp);
+            }
+            if (frame_ct < 10)
+            {
+                for (int i = 0; i < ptr->size(); i++)
+                {
+                    ptr->points[i].curvature += (last_timestamp_lidar - time_con) * 1000;
+                    ptr_con->push_back(ptr->points[i]);
+                }
+                frame_ct ++;
+            }
+            else
+            {
+                PointCloudXYZI::Ptr  ptr_con_i(new PointCloudXYZI(10000,1));
+                // cout << "ptr div num:" << ptr_div->size() << endl;
+                *ptr_con_i = *ptr_con;
+                double time_con_i = time_con;
+                lidar_buffer.push_back(ptr_con_i);
+                time_buffer.push_back(time_con_i);
+                ptr_con->clear();
+                frame_ct = 0;
            }
-            frame_ct ++;
        }
        else
        {
-            PointCloudXYZI::Ptr  ptr_con_i(new PointCloudXYZI(10000,1));
-            // cout << "ptr div num:" << ptr_div->size() << endl;
-            *ptr_con_i = *ptr_con;
-            double time_con_i = time_con;
-            lidar_buffer.push_back(ptr_con_i);
-            time_buffer.push_back(time_con_i);
-            ptr_con->clear();
-            frame_ct = 0;
+            if (ptr->points.size() > 0)
+            {
+                lidar_buffer.emplace_back(ptr);
+                time_buffer.emplace_back(msg_time);
+            }
        }
    }
-    else
-    {
-        if (ptr->points.size() > 0)
-        {
-            lidar_buffer.emplace_back(ptr);
-            time_buffer.emplace_back(msg_time);
-        }
-    }
-    }
-    s_plot11[scan_count] = omp_get_wtime() - preprocess_start_time;
+    s_plot11[scan_count] = get_wtime() - preprocess_start_time;
    // mtx_buffer.unlock();
    // sig_buffer.notify_all();
 }
--- a/src/parameters.h
+++ b/src/parameters.h
@@ -23,13 +23,19 @@
 #include <sensor_msgs/msg/imu.hpp>
 #include <pcl/common/transforms.h>
 #include <geometry_msgs/msg/vector3.hpp>
+#include <OctVoxMap/OctVoxMapAdapter.hpp>

 // #define IVOX_NODE_TYPE_PHC
+#define IVOX_NODE_TYPE_OCTVOXMAP

-#ifdef IVOX_NODE_TYPE_PHC
-    using IVoxType = faster_lio::IVox<3, faster_lio::IVoxNodeType::PHC, PointType>;
+#ifdef IVOX_NODE_TYPE_OCTVOXMAP
+    using IVoxType = OctVoxMapAdapter<3, 0, PointType>;
 #else
-    using IVoxType = faster_lio::IVox<3, faster_lio::IVoxNodeType::DEFAULT, PointType>;
+    #ifdef IVOX_NODE_TYPE_PHC
+        using IVoxType = faster_lio::IVox<3, faster_lio::IVoxNodeType::PHC, PointType>;
+    #else
+        using IVoxType = faster_lio::IVox<3, faster_lio::IVoxNodeType::DEFAULT, PointType>;
+    #endif
 #endif

 extern bool is_first_frame;
--- a/src/preprocess.cpp
+++ b/src/preprocess.cpp
@@ -319,12 +319,16 @@ void Preprocess::avia_handler(const livox_ros_driver2::msg::CustomMsg::ConstShar
  pl_surf.clear();
  pl_corn.clear();
  pl_full.clear();
-  double t1 = omp_get_wtime();
+  double t1 = get_wtime();
  int plsize = msg->point_num;

  pl_corn.reserve(plsize);
  pl_surf.reserve(plsize);
-  pl_full.resize(plsize);
+  
+  // Avoid resizing pl_full if possible, or just use it as a buffer
+  if (pl_full.size() < plsize) {
+      pl_full.resize(plsize);
+  }

  for(int i=0; i<N_SCANS; i++)
  {
@@ -333,26 +337,35 @@ void Preprocess::avia_handler(const livox_ros_driver2::msg::CustomMsg::ConstShar
  }
  uint valid_num = 0;
  
+  // Pre-calculate constants
+  const float time_scale = 1.0f / 1000000.0f;
+  const double blind_sq = blind * blind;
+  const double det_range_sq = det_range * det_range;
  
  for(uint i=1; i<plsize; i++)
  {
-    if((msg->points[i].line < N_SCANS) && ((msg->points[i].tag & 0x30) == 0x10 || (msg->points[i].tag & 0x30) == 0x00))
+    const auto& pt = msg->points[i];
+    if((pt.line < N_SCANS) && ((pt.tag & 0x30) == 0x10 || (pt.tag & 0x30) == 0x00))
    {
      valid_num ++;
      if (valid_num % point_filter_num == 0)
      {
-        pl_full[i].x = msg->points[i].x;
-        pl_full[i].y = msg->points[i].y;
-        pl_full[i].z = msg->points[i].z;
-        pl_full[i].intensity = msg->points[i].reflectivity; // z; //
-        pl_full[i].curvature = msg->points[i].offset_time / float(1000000); // use curvature as time of each laser points, curvature unit: ms
-        double dist = pl_full[i].x * pl_full[i].x + pl_full[i].y * pl_full[i].y + pl_full[i].z * pl_full[i].z;
-        if (dist < blind * blind || dist > det_range * det_range) continue;
-        if(((abs(pl_full[i].x - pl_full[i-1].x) > 1e-7) 
-            || (abs(pl_full[i].y - pl_full[i-1].y) > 1e-7)
-            || (abs(pl_full[i].z - pl_full[i-1].z) > 1e-7)))
+        auto& full_pt = pl_full[i];
+        full_pt.x = pt.x;
+        full_pt.y = pt.y;
+        full_pt.z = pt.z;
+        full_pt.intensity = pt.reflectivity;
+        full_pt.curvature = pt.offset_time * time_scale; // use curvature as time of each laser points, curvature unit: ms
+        
+        double dist = full_pt.x * full_pt.x + full_pt.y * full_pt.y + full_pt.z * full_pt.z;
+        if (dist < blind_sq || dist > det_range_sq) continue;
+        
+        const auto& prev_pt = pl_full[i-1];
+        if(((std::abs(full_pt.x - prev_pt.x) > 1e-7) 
+            || (std::abs(full_pt.y - prev_pt.y) > 1e-7)
+            || (std::abs(full_pt.z - prev_pt.z) > 1e-7)))
        {
-          pl_surf.push_back(pl_full[i]);
+          pl_surf.push_back(full_pt);
        }
      }
    }
Author	SHA1	Message	Date
uavfly	59affa2957	Add tbb multithreading support, replace omp, and remove log files	2026-01-05 19:52:45 +08:00
uavfly	cde9e26ea8	Replace ivox library with OctVoxMap library	2026-01-03 23:36:02 +08:00