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"
A Collection of LiDAR-Camera-Calibration Papers, Toolboxes and Notes
Light-weight camera LiDAR calibration package for ROS using OpenCV and PCL (PnP + LM optimization)
Intensity-based_Lidar_Camera_Calibration
Automatic Calibration for Non-repetitive Scanning Solid-State LiDAR and Camera Systems
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.
The code implemented in ROS projects a point cloud obtained by a Velodyne VLP16 3D-Lidar sensor on an image from an RGB camera.
Joint intrinsic and extrinsic LiDAR-camera calibration.
ROS package to calibrate the extrinsic parameters between LiDAR and Camera.
ROS VERSION: A tool used for calibrate 2D laser range finder (LRF) and camera.version1:https://github.com/TurtleZhong/camera_lidar_calibration
auto-calibration of lidar and camera based on maximization of intensity mutual information
Single-shot, Pixel-level, Target-free and General LiDAR-Camera Extrinsic Self-Calibration
[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.
LiDAR Guide
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
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.
[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
An open source autonomous driving research platform for Active SLAM & Multisensor Data Fusion
LiDAR-Camera calibration toolbox
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