Computer Graphics: Implementation of Iterative Closest Point (ICP) algorithm
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Updated
Sep 25, 2022 - C++
Computer Graphics: Implementation of Iterative Closest Point (ICP) algorithm
Ethan and Utku's implementation of scan-matching.
Registering 2D Lidar scans to get a 2D Map of environment using ICP
This repo shows a simple way to utilize pcl:IterativeClosestPoint for localization
Multi Method Lidar Odometry is a lightweight Lidar Odometry library with GUI
Dash Robotics Perception
Visualize each iteration of ICP-like algorithms in RViz, including residuals, normals, correspondences.
The project proposes Point Cloud registration using ICP (Iterative Closest Point ) algorithm for precise 3D model alignment.
Implementation of Iterative Closest Point and Trimmed Iterative Closest Point algorithms.
Iterative closest point GPU and CPU implementations (google benchmark)
Registration algorithms (e.g. ICP) for Python with PCL backend.
Analysis and implementation of ICP variants
Calibration of LiDAR-Sensors - PointCloud Alignment/Registration tools with PCL & ROS
Implementation of ICCV 2017: Colored Point Cloud Registration Revisited
A lean C++ library for working with point cloud data
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