Automatic LiDAR-camera calibration of extrinsic parameters using a spherical target
2020 IEEE International Conference on Robotics and Automation (ICRA), 2020•ieeexplore.ieee.org
This paper investigates a novel calibration process of devices with different modalities,
which is a critical step of computer vision applications. We propose a fully automatic extrinsic
calibration of a LiDAR-camera system. Our approach applies sphere as their surfaces and
contours can be accurately detected on point clouds and camera images, respectively.
Experiments on synthetic and real data exhibit that our automatic algorithm is fast and robust
and it yields accurate camera and LiDAR extrinsic parameters.
which is a critical step of computer vision applications. We propose a fully automatic extrinsic
calibration of a LiDAR-camera system. Our approach applies sphere as their surfaces and
contours can be accurately detected on point clouds and camera images, respectively.
Experiments on synthetic and real data exhibit that our automatic algorithm is fast and robust
and it yields accurate camera and LiDAR extrinsic parameters.
This paper investigates a novel calibration process of devices with different modalities, which is a critical step of computer vision applications. We propose a fully automatic extrinsic calibration of a LiDAR-camera system. Our approach applies sphere as their surfaces and contours can be accurately detected on point clouds and camera images, respectively. Experiments on synthetic and real data exhibit that our automatic algorithm is fast and robust and it yields accurate camera and LiDAR extrinsic parameters.
ieeexplore.ieee.org
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