depth_clustering
Fast and robust algorithm for segmenting Velodyne LiDAR point clouds into objects for autonomous driving applications.
What is depth_clustering?
Depth Clustering is a C++ library for fast segmentation of 3D point clouds generated by Velodyne LiDAR sensors. It processes sparse laser scan data to identify and separate objects in real-time, which is essential for autonomous vehicles and robotics applications. The algorithm is specifically optimized for online operation with Velodyne's rotating multi-beam sensors.
Autonomous vehicle developers, robotics researchers, and computer vision engineers working with LiDAR point cloud data who need real-time object segmentation capabilities.
Developers choose Depth Clustering for its proven performance with Velodyne sensors, real-time processing capabilities, and robust segmentation results that have been validated through academic publications and practical applications in autonomous systems.
Overview
:taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor.
Use Cases
Best For
- Real-time object detection from Velodyne LiDAR data in autonomous vehicles
Related Projects
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
