Point Cloud
Showing 25 of 97 projects
A desktop tool for viewing, editing, and saving road network maps for autonomous vehicle platforms like Autoware.
A curated collection of LiDAR place recognition methods, datasets, and algorithms for robotics and autonomous systems.
A large-scale driving behavior dataset with LiDAR point clouds, dashboard videos, and sensor data for autonomous driving research.
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.
A graphical user interface for annotating point clouds and 3D scenes with bounding boxes, keypoints, and rectangles.
A ROS2 port of LeGO-LOAM, a lightweight and ground-optimized LiDAR odometry and mapping system for ground vehicles.
Efficient analysis of large datasets of point clouds recorded over time
A C++/Python library for decoding Velodyne lidar packets into point clouds from PCAP and ROS bag files.
A ROS-based player for replaying the KiTTI autonomous driving dataset with point cloud, image, and ground truth publishing.
SDK for working with Cepton LiDAR sensors, providing networking, packet parsing, calibration, and frame accumulation.
Cross-platform library for communicating with and controlling Blickfeld LiDAR devices.
A framework for developing and evaluating LiDAR data processing algorithms, with support for hardware acceleration on embedded platforms.
A ROS package for connecting the Waymo Open Dataset to the Robot Operating System (ROS).
ROS driver node for Nerian's SceneScan and SP1 stereo vision sensors, enabling 3D perception in robotics applications.
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