A collection of GICP-based fast point cloud registration algorithms
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Updated
May 16, 2024 - C++
A collection of GICP-based fast point cloud registration algorithms
Point cloud registration pipeline for robot localization and 3D perception
Multi-threaded and SSE friendly NDT algorithm
Efficient and parallel algorithms for point cloud registration [C++, Python]
K-Closest Points and Maximum Clique Pruning for Efficient and Effective 3-D Laser Scan Matching (RA-L 2022)
ROS package for NDT-PSO, a 2D Laser scan matching algorithm for SLAM
Laser scan matcher ported to ROS2
Localise your 2D LIDAR in a 2D map ex novo in no time
The Fourier Scan Matcher: a correspondenceless and closed-form matching algorithm for 2D panoramic LIDAR sensors
Acquire robust odometry from your noisy panoramic 2D LIDAR sensor
[ROS package] Lidar odometry from panoramic 2D range scans. Method: scan-matching without using correspondences, based on properties of the Discrete Fourier Transform
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