ROS support for Velodyne 3D LIDARs
Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.
翻译 - 激光里程表和制图（Loam）是一种使用3D激光雷达进行状态估计和制图的实时方法。
Laser Odometry And Mapping (LOAM) SLAM ROS package for 3D Velodyne VLP-16 laser scanner
Real-time 3D localization using a (velodyne) 3D LIDAR
ROS packages for Velodyne 3D LIDARs provided by Robo@FIT group.
A ros tool for converting Robosense pointcloud to Velodyne pointcloud format.
🚕 Fast and robust clustering of point clouds generated with a Velodyne sensor.
Open source library for Velodyne 3D LIDAR point clouds processing provided by Robo@FIT group.
ROS obstacle detection for 3D point clouds using a height map algorithm.
VelodyneCapture is the general capture class to retrieve the laser data from Velodyne sensors using Boost.Asio and PCAP
loam velodyne tested with the KITTI dataset
This is ROS node for LOAM with OUSTER and VELODYNE
V-Rep VRep Autonomous Vehicle Simulator with ROS, Velodyne + IMU + GPS + Localization Data + tf
Matlab implementation for fruit detection in 3D point clouds acquired with LiDAR sensor Velodyne VLP-16
The code implemented in ROS projects a point cloud obtained by a Velodyne VLP16 3D-Lidar sensor on an image from an RGB camera.
VeloView performs real-time visualization and easy processing of live captured 3D LiDAR data from Velodyne sensors (Alpha Prime™, Puck™, Ultra Puck™, Puck Hi-Res™, Alpha Puck™, Puck LITE™, HDL-32, HDL...
This dataset is captured using a Velodyne VLP-16, which is mounted on an UGV - Clearpath Jackal, on Stevens Institute of Technology campus
This code converts a point cloud obtained by a Velodyne VLP16 3D-Lidar sensor into a depth image mono16.
Bag files captured using a Clearpath Jackal Robot, which is equipped with a Velodyne VLP-16 and low-end IMU sensor. The published point cloud topic is \velodyne_points. The published IMU data topic is...