fast_gicp
A collection of high-performance GICP-based point cloud registration algorithms with multi-threaded and GPU-accelerated implementations.
What is fast_gicp?
fast_gicp is a collection of high-performance point cloud registration algorithms based on the Generalized Iterative Closest Point (GICP) method. It provides multi-threaded and GPU-accelerated implementations that significantly outperform standard PCL implementations, enabling real-time 3D mapping and localization.
Robotics researchers, autonomous vehicle developers, and computer vision engineers working with LiDAR data who need fast and accurate point cloud alignment for SLAM, 3D reconstruction, or object detection applications.
Developers choose fast_gicp because it provides drop-in replacements for PCL's GICP that are 2-10x faster through parallelization and GPU acceleration, while maintaining the same interfaces and accuracy for seamless integration into existing pipelines.
Overview
A collection of GICP-based fast point cloud registration algorithms
Use Cases
Best For
- Real-time LiDAR odometry and mapping for autonomous vehicles
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