ROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences"
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Updated
Apr 4, 2023 - C++
ROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences"
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-64E). Runs on Windows, Linux and MacOS. This repository is a mirror of https://gitlab.kitware.com/LidarView/VeloView-Velodyne.
A Collection of LiDAR-Camera-Calibration Papers, Toolboxes and Notes
Intensity-based_Lidar_Camera_Calibration
Light-weight camera LiDAR calibration package for ROS using OpenCV and PCL (PnP + LM optimization)
Automatic Calibration for Non-repetitive Scanning Solid-State LiDAR and Camera Systems
ROS VERSION: A tool used for calibrate 2D laser range finder (LRF) and camera.version1:https://github.com/TurtleZhong/camera_lidar_calibration
The code implemented in ROS projects a point cloud obtained by a Velodyne VLP16 3D-Lidar sensor on an image from an RGB camera.
auto-calibration of lidar and camera based on maximization of intensity mutual information
ROS package to calibrate the extrinsic parameters between LiDAR and Camera.
A tool used for calibrate the extrinsic between 2D laser range finder (LRF) and camera. ROS Version: https://github.com/TurtleZhong/camera_lidar_calibration_v2
ROS camera 2D Lidar extrinsic calibration tool
Joint intrinsic and extrinsic LiDAR-camera calibration.
An open source autonomous driving research platform for Active SLAM & Multisensor Data Fusion
本人完成的项目汇总
LiDAR Camera Calibration Based on ROS and MATLAB
LiDAR Guide
[RA-L 2020] Official Tensorflow Implementation for "RGGNet: Tolerance Aware LiDAR-Camera Online Calibration with Geometric Deep Learning and Generative Model", IEEE Robotics and Automation Letters 5.4 (2020): 6956-6963
[T-RO 2022] Official Implementation for "LiCaS3: A Simple LiDAR–Camera Self-Supervised Synchronization Method," in IEEE Transactions on Robotics, doi: 10.1109/TRO.2022.3167455.
This is a fiducial marker system designed for LiDAR sensors. Different visual fiducial marker systems (Apriltag, ArUco, CCTag, etc.) can be easily embedded. The usage is as convenient as that of the visual fiducial marker. The system shows potential in SLAM, multi-sensor calibration, augmented reality, and so on.
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