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lidar
ROS1/2 Interface of the Oxford (Radar) RobotCar Dataset
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.
🚕 Fast and robust clustering of point clouds generated with a Velodyne sensor.
Real-time people tracking using a 3D LIDAR
use for sensor decode, like rtk lidar imu and odom
Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)
The code implemented in ROS projects a point cloud obtained by a Velodyne VLP16 3D-Lidar sensor on an image from an RGB camera.