Absolute Positioning Method Based on Tunnel Wall Image Similarity Matching

This paper conducts an in-depth analysis of the positioning environment inside tunnels and proposes an absolute coordinate positioning method based on tunnel wall image similarity matching. In this chapter, we first analyze the existing problems in the current positioning process and propose solutio...

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Published in2023 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech) pp. 0622 - 0627
Main Authors Guo, Jun, Yang, Xiao, Lan, Jie, Tong, LiGuo, Jiang, Wei
Format Conference Proceeding
LanguageEnglish
Published IEEE 14.11.2023
Subjects
Big Data
DeepSort
Fasteners
Location awareness
Machine learning algorithms
MobileNetV3
Reinforcement learning
Track fastener detection
Training
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Summary:This paper conducts an in-depth analysis of the positioning environment inside tunnels and proposes an absolute coordinate positioning method based on tunnel wall image similarity matching. In this chapter, we first analyze the existing problems in the current positioning process and propose solutions. Then, we introduce the construction method of the tunnel feature database and the tunnel wall image feature matching method based on motion smoothness constraints. Finally, experimental validation is performed.
ISSN:2837-0740
DOI:10.1109/DASC/PiCom/CBDCom/Cy59711.2023.10361463