Fetch Changes from KISS

cpp/kinematic_icp/kiss_icp/kiss-icp.cmake

@@ -26,6 +26,6 @@ if(CMAKE_VERSION VERSION_GREATER 3.24)
 endif()
 
 include(FetchContent)
-FetchContent_Declare(kiss_icp URL https://github.com/PRBonn/kiss-icp/archive/refs/tags/v1.1.0.tar.gz SOURCE_SUBDIR
+FetchContent_Declare(kiss_icp URL https://github.com/PRBonn/kiss-icp/archive/refs/tags/v1.2.0.tar.gz SOURCE_SUBDIR
                                   cpp/kiss_icp)
 FetchContent_MakeAvailable(kiss_icp)

cpp/kinematic_icp/pipeline/KinematicICP.cpp

@@ -23,9 +23,7 @@
 #include "KinematicICP.hpp"
 
 #include <Eigen/Core>
-#include <kiss_icp/core/Deskew.hpp>
 #include <kiss_icp/core/Preprocessing.hpp>
-#include <kiss_icp/core/Registration.hpp>
 #include <kiss_icp/core/VoxelHashMap.hpp>
 #include <vector>
 
@@ -52,18 +50,16 @@ KinematicICP::Vector3dVectorTuple KinematicICP::RegisterFrame(
     const std::vector<double> &timestamps,
     const Sophus::SE3d &lidar_to_base,
     const Sophus::SE3d &relative_odometry) {
-    const auto &deskew_frame = [&]() -> std::vector<Eigen::Vector3d> {
-        if (!config_.deskew || timestamps.empty()) return frame;
-        return kiss_icp::DeSkewScan(frame, timestamps,
-                                    lidar_to_base.inverse() * relative_odometry * lidar_to_base);
-    }();
-    const auto &deskew_frame_in_base = transform_points(deskew_frame, lidar_to_base);
-    // Preprocess the input cloud
-    const auto &cropped_frame =
-        kiss_icp::Preprocess(deskew_frame_in_base, config_.max_range, config_.min_range);
-
+    // Need to deskew in lidar frame
+    const Sophus::SE3d &relative_odometry_in_lidar =
+        lidar_to_base.inverse() * relative_odometry * lidar_to_base;
+    const auto &preprocessed_frame =
+        preprocessor_.Preprocess(frame, timestamps, relative_odometry_in_lidar);
+    // Give the frame in base frame
+    const auto &preprocessed_frame_in_base = transform_points(preprocessed_frame, lidar_to_base);
     // Voxelize
-    const auto &[source, frame_downsample] = Voxelize(cropped_frame, config_.voxel_size);
+    const auto &[source, frame_downsample] =
+        Voxelize(preprocessed_frame_in_base, config_.voxel_size);
 
     // Get adaptive_threshold
     const double tau = correspondence_threshold_.ComputeThreshold();
@@ -85,6 +81,6 @@ KinematicICP::Vector3dVectorTuple KinematicICP::RegisterFrame(
 
     // Return the (deskew) input raw scan (frame) and the points used for
     // registration (source)
-    return {deskew_frame_in_base, source};
+    return {preprocessed_frame_in_base, source};
 }
 }  // namespace kinematic_icp::pipeline

cpp/kinematic_icp/pipeline/KinematicICP.hpp

@@ -24,9 +24,8 @@
 
 #include <Eigen/Core>
 #include <cmath>
-#include <kiss_icp/core/Threshold.hpp>
+#include <kiss_icp/core/Preprocessing.hpp>
 #include <kiss_icp/core/VoxelHashMap.hpp>
-#include <kiss_icp/pipeline/KissICP.hpp>
 #include <sophus/se3.hpp>
 #include <tuple>
 #include <vector>
@@ -76,6 +75,7 @@ class KinematicICP {
                                     config.use_adaptive_threshold,
                                     config.fixed_threshold),
           config_(config),
+          preprocessor_(config.max_range, config.min_range, config.deskew, config.max_num_threads),
           local_map_(config.voxel_size, config.max_range, config.max_points_per_voxel) {}
 
     Vector3dVectorTuple RegisterFrame(const std::vector<Eigen::Vector3d> &frame,
@@ -104,6 +104,7 @@ class KinematicICP {
     CorrespondenceThreshold correspondence_threshold_;
     Config config_;
     // KISS-ICP pipeline modules
+    kiss_icp::Preprocessor preprocessor_;
     kiss_icp::VoxelHashMap local_map_;
 };
 

cpp/kinematic_icp/registration/Registration.cpp

@@ -23,8 +23,10 @@
 #include "Registration.hpp"
 
 #include <tbb/blocked_range.h>
+#include <tbb/concurrent_vector.h>
 #include <tbb/global_control.h>
 #include <tbb/info.h>
+#include <tbb/parallel_for.h>
 #include <tbb/parallel_reduce.h>
 #include <tbb/task_arena.h>
 
@@ -38,7 +40,7 @@
 #include <tuple>
 
 using LinearSystem = std::pair<Eigen::Matrix2d, Eigen::Vector2d>;
-using Correspondences = std::vector<std::pair<Eigen::Vector3d, Eigen::Vector3d>>;
+using Correspondences = tbb::concurrent_vector<std::pair<Eigen::Vector3d, Eigen::Vector3d>>;
 
 namespace {
 constexpr double epsilon = std::numeric_limits<double>::min();
@@ -62,33 +64,20 @@ Correspondences DataAssociation(const std::vector<Eigen::Vector3d> &points,
                                 const Sophus::SE3d &T,
                                 const double max_correspondance_distance) {
     using points_iterator = std::vector<Eigen::Vector3d>::const_iterator;
-    Correspondences associations;
-    associations.reserve(points.size());
-    associations = tbb::parallel_reduce(
+    Correspondences correspondences;
+    correspondences.reserve(points.size());
+    tbb::parallel_for(
         // Range
         tbb::blocked_range<points_iterator>{points.cbegin(), points.cend()},
-        // Identity
-        associations,
-        // 1st lambda: Parallel computation
-        [&](const tbb::blocked_range<points_iterator> &r, Correspondences res) -> Correspondences {
-            res.reserve(r.size());
+        [&](const tbb::blocked_range<points_iterator> &r) {
             std::for_each(r.begin(), r.end(), [&](const auto &point) {
                 const auto &[closest_neighbor, distance] = voxel_map.GetClosestNeighbor(T * point);
                 if (distance < max_correspondance_distance) {
-                    res.emplace_back(point, closest_neighbor);
+                    correspondences.emplace_back(point, closest_neighbor);
                 }
             });
-            return res;
-        },
-        // 2nd lambda: Parallel reduction
-        [](Correspondences a, const Correspondences &b) -> Correspondences {
-            a.insert(a.end(),                              //
-                     std::make_move_iterator(b.cbegin()),  //
-                     std::make_move_iterator(b.cend()));
-            return a;
         });
-
-    return associations;
+    return correspondences;
 }
 
 Eigen::Vector2d ComputePerturbation(const Correspondences &correspondences,