Velodyne
Showing 10 of 10 projects
A real-time, tightly-coupled lidar-inertial odometry package for robust robot localization and mapping.
A lightweight, ground-optimized lidar odometry and mapping system for ROS-compatible unmanned ground vehicles.
A ROS package for real-time 6DOF SLAM using 3D LIDAR, featuring graph-based optimization with multiple sensor constraints.
A ROS package for extrinsic calibration between LiDAR and camera sensors using 3D-3D point correspondences.
A realtime LiDAR odometry and mapping (LOAM) method for state estimation and mapping using 3D lidar sensors like Velodyne VLP16.
Fast and robust algorithm for segmenting Velodyne LiDAR point clouds into objects for autonomous driving applications.
An open-source 3D LIDAR-based mapping framework for semi-automatic, interactive correction of SLAM mapping failures.
A desktop tool for labeling individual points and polygons in LiDAR point cloud datasets, specifically designed for KITTI format.
Real-time visualization and processing tool for live 3D LiDAR data from Velodyne sensors.
A C++/Python library for decoding Velodyne lidar packets into point clouds from PCAP and ROS bag files.
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