Point Cloud
Showing 15 of 87 projects
A desktop tool for viewing, editing, and saving road network maps for autonomous vehicle platforms like Autoware.
A large-scale driving behavior dataset with LiDAR point clouds, dashboard videos, and sensor data for autonomous driving research.
A curated collection of LiDAR place recognition methods, datasets, and algorithms for robotics and autonomous systems.
A simulation-based deep learning approach to enhance the resolution of 3D lidar point clouds for ground vehicles.
ROS nodes for reading point clouds from files (PLY, VTK) and writing sensor_msgs/PointCloud2 messages to files.
Automatically classifies and labels urban point clouds using data fusion with public datasets and region growing techniques.
A ROS catkin package for correcting motion distortion in LiDAR scans using external 6DoF pose estimation.
A deep learning approach that unifies global place recognition and local 6DoF pose refinement for robust relocalization in large-scale 3D point clouds.
A deprecated ROS2 wrapper for Intel RealSense depth cameras (D400 series) to stream sensor data as ROS2 topics.
Legacy ROS2 drivers for Ouster OS-0, OS-1, and OS-2 lidars, providing sensor data processing and lifecycle management.
Legacy ROS2 drivers for Ouster OS-0, OS-1, and OS-2 lidars, providing sensor data processing and ROS interfaces.
A synthetic dataset of 2D imagery, 3D point clouds, and 3D vehicle bounding box labels generated using the Grand Theft Auto 5 game engine.
ROS2 package for 3D occupancy grid mapping using OctoMap, enabling real-time environment modeling.
ROS wrapper for Orbbec Astra 3D cameras, enabling depth sensing and point cloud generation in ROS Kinetic, Melodic, and Noetic.
A ROS 2 node for real-time LiDAR ground segmentation using a two-phase grid-based algorithm for robotic perception.
Related Tags
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.