Deep Learning Based on Semantic Segmentation for Three-Dimensional Object Detection from Point Clouds

Liang Zhao; Jie Hu; Han Liu; Yongpeng An; Zongquan Xiong; Yu Wang

doi:10.3788/CJL202148.1710004

Chinese Journal of Lasers, Volume. 48, Issue 17, 1710004(2021)

Deep Learning Based on Semantic Segmentation for Three-Dimensional Object Detection from Point Clouds

Liang Zhao^1,2,3,4, Jie Hu^1,2,3,4、*, Han Liu^1,2,3,4, Yongpeng An^1,2,3,4, Zongquan Xiong^1,2,3,4, and Yu Wang^1,2,3,4

Author Affiliations

¹School of Automotive Engineering, Wuhan University of Technology, Wuhan, Hubei 430070, China

²Hubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan, Hubei 430070, China

³Hubei Collaborative Innovation Center for Automotive Components Technology, Wuhan University of Technology, Wuhan, Hubei 430070, China

⁴Hubei Research Center for New Energy & Intelligent Connected Vehicle, Wuhan University of Technology, Wuhan, Hubei 430070, China;

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Liang Zhao, Jie Hu, Han Liu, Yongpeng An, Zongquan Xiong, Yu Wang. Deep Learning Based on Semantic Segmentation for Three-Dimensional Object Detection from Point Clouds[J]. Chinese Journal of Lasers, 2021, 48(17): 1710004

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Paper Information

Received: Jan. 11, 2021

Accepted: Mar. 9, 2021

Published Online: Sep. 4, 2021

The Author Email: Hu Jie (auto_hj@163.com)

DOI:10.3788/CJL202148.1710004

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology