A multi-sensor calibration toolbox for autonomous driving, supporting IMU, LiDAR, camera, and radar calibration.
OpenCalib is a multi-sensor calibration toolbox designed for autonomous driving systems. It provides tools to calibrate sensors like IMU, LiDAR, camera, and radar, which is crucial for accurate sensor fusion and reliable perception in autonomous vehicles. The toolbox supports both intrinsic and extrinsic calibration, including factory calibration and online sensor-to-car coordinate alignment.
Autonomous driving engineers, robotics researchers, and developers working on multi-sensor systems who need precise calibration for sensor fusion and perception algorithms.
It offers a comprehensive, open-source solution specifically tailored for autonomous driving, with support for multiple sensors and both automated and manual calibration methods, reducing the complexity of sensor setup.
OpenCalib: A Multi-sensor Calibration Toolbox for Autonomous Driving
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Supports calibration for IMU, LiDAR, camera, and radar with specific tools like lidar2imu and radar2camera, as detailed in the calibration tables.
Offers both automated and manual calibration options for most tools, such as lidar2camera having both auto and manual modes, providing adaptability to different scenarios.
Includes multiple calibration board patterns like chessboard, Apriltag, and round hole boards for camera and LiDAR, enhancing accuracy in controlled environments.
SensorX2car module enables online calibration of sensor-to-car coordinate systems in road scenes, supporting dynamic adjustments for autonomous driving.
Radar calibrations like radar2camera and radar2lidar only support manual calibration, lacking automated options which can be time-consuming and error-prone.
Quick start relies solely on Docker with no alternative installation methods mentioned, potentially limiting deployment in environments without Docker support.
Usage documentation is linked but lacks comprehensive tutorials or troubleshooting guides, which may hinder beginners or complex use cases.