Paper
30 September 2024 Research on lidar and camera technology based on joint calibration and data fusion
Houfu Ma, Guoqing Yang, Xiaoxin Wang, Dehui Han, Xinli Zhang, Junchen Lu, Dongchun Wu
Author Affiliations +
Proceedings Volume 13286, Third International Conference on Electronics Technology and Artificial Intelligence (ETAI 2024); 1328614 (2024) https://doi.org/10.1117/12.3045608
Event: Third International Conference on Electronics Technology and Artificial Intelligence (ETAI 2024), 2024, Guangzhou, China
Abstract
Aiming at the limitations of a single sensor in complex environments, this paper utilizes the joint calibration and data fusion techniques of LIDAR and camera to make up for the shortcomings of a single sensor. The physical points of LiDAR in the 3D coordinate system are associated with the image points under the pixel coordinate system of the camera through the checkerboard grid calibration method, and then based on the parameters of the joint calibration, the 3D point cloud is projected to the 2D plane and the coordinate mapping is established with the image data of the camera to obtain the point cloud with color information. Finally, the experimental validation of projecting the point cloud data onto the imaging plane confirms the remarkable feasibility and accuracy of the data fusion method for LiDAR and optical imaging sensors.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Houfu Ma, Guoqing Yang, Xiaoxin Wang, Dehui Han, Xinli Zhang, Junchen Lu, and Dongchun Wu "Research on lidar and camera technology based on joint calibration and data fusion", Proc. SPIE 13286, Third International Conference on Electronics Technology and Artificial Intelligence (ETAI 2024), 1328614 (30 September 2024); https://doi.org/10.1117/12.3045608
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KEYWORDS
Calibration

Cameras

LIDAR

Point clouds

Imaging systems

Data fusion

3D image processing

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