Identifying and Constructing Semantic Maps Based on Laser and Vision Fusions for Improving Localization Performance

Lin Jiang; Qi Liu; Bin Lei; Jianpeng Zuo; Hui Zhao

doi:10.3788/CJL202249.1810003

Chinese Journal of Lasers, Volume. 49, Issue 18, 1810003(2022)

Identifying and Constructing Semantic Maps Based on Laser and Vision Fusions for Improving Localization Performance

Lin Jiang^1,2, Qi Liu^1、*, Bin Lei^1,2, Jianpeng Zuo¹, and Hui Zhao^2,3

¹Key Laboratory of Metallurgical Equipment and Control Technology, Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, Hubei, China

²Institute of Robotics and Intelligent Systems, Wuhan University of Science and Technology, Wuhan 430081, Hubei, China

³Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering, Wuhan University of Science and Technology, Wuhan 430081, Hubei, China

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Lin Jiang, Qi Liu, Bin Lei, Jianpeng Zuo, Hui Zhao. Identifying and Constructing Semantic Maps Based on Laser and Vision Fusions for Improving Localization Performance[J]. Chinese Journal of Lasers, 2022, 49(18): 1810003

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Paper Information

Category: remote sensing and sensor

Received: Dec. 13, 2021

Accepted: Jan. 19, 2022

Published Online: Jul. 28, 2022

The Author Email: Qi Liu (liuqi_xl@163.com)

DOI:10.3788/CJL202249.1810003

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology