Ethan and Utku's implementation of scan-matching.
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Updated
Nov 13, 2024 - C++
Ethan and Utku's implementation of scan-matching.
Registering 2D Lidar scans to get a 2D Map of environment using ICP
Multi Method Lidar Odometry is a lightweight Lidar Odometry library with GUI
Implementation of Iterative Closest Point and Trimmed Iterative Closest Point algorithms.
Visualize each iteration of ICP-like algorithms in RViz, including residuals, normals, correspondences.
Analysis and implementation of ICP variants
A lean C++ library for working with point cloud data
The project proposes Point Cloud registration using ICP (Iterative Closest Point ) algorithm for precise 3D model alignment.
Computer Graphics: Implementation of Iterative Closest Point (ICP) algorithm
Implementation of ICCV 2017: Colored Point Cloud Registration Revisited
Registration algorithms (e.g. ICP) for Python with PCL backend.
This repo shows a simple way to utilize pcl:IterativeClosestPoint for localization
Calibration of LiDAR-Sensors - PointCloud Alignment/Registration tools with PCL & ROS
Iterative closest point GPU and CPU implementations (google benchmark)
Dash Robotics Perception
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