3D target detection based on monocular ranging

Liang Feng; Linghan Yao; Yuanhao Liu; Caiyi Xu; Jianping Xing

doi:10.1117/12.2647071

7 September 2022 3D target detection based on monocular ranging

Liang Feng, Linghan Yao, Yuanhao Liu, Caiyi Xu, Jianping Xing

Proceedings Volume 12329, Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022); 123291X (2022) https://doi.org/10.1117/12.2647071
Event: Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022), 2022, Changsha, China

Abstract

Target detection in autonomous driving scenes refers to the output of environmental target information by relevant algorithms after the vehicle collects all-round image, radar, GPS and other information through sensors. Target detection actually includes two tasks : positioning and classification. The positioning task outputs the location information of the target relative to the vehicle, and the classification task needs to output the specific categories of the target. This paper mainly studies 3D target detection based on monocular RGB image. This method only needs monocular camera, which has the lowest cost and the fastest running speed.

Citation Download Citation

Liang Feng, Linghan Yao, Yuanhao Liu, Caiyi Xu, and Jianping Xing "3D target detection based on monocular ranging", Proc. SPIE 12329, Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022), 123291X (7 September 2022); https://doi.org/10.1117/12.2647071

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