Research on target recognition technology of road surveillance radar

ShiAng Zhang; Shuang Zhao; DaYu Wang; HongWei Yang

doi:10.1117/12.2668017

20 April 2023 Research on target recognition technology of road surveillance radar

ShiAng Zhang, Shuang Zhao, DaYu Wang, HongWei Yang

Proceedings Volume 12602, International Conference on Electronic Information Engineering and Computer Science (EIECS 2022); 126021B (2023) https://doi.org/10.1117/12.2668017
Event: International Conference on Electronic Information Engineering and Computer Science (EIECS 2022), 2022, Changchun, China

Abstract

Urban street lighting system plays an important role in urban traffic lighting and road safety. With it, the power consumption of urban street lights is increasing, and the cost is also increasing year by year. The purpose of this paper is to detect and classify targets through road monitoring radar, so as to achieve the purpose of real-time detection of pedestrians, vehicles and other targets, so as to control the brightness of street lights to save power consumption. This paper firstly establishes the radar echo model of various targets, deduces the model formula of radar echo, and analyzes the micro-Doppler characteristics produced by the micro-moving parts of the target. Secondly, Secondly, the ResNet residual neural network training method is used to analyze the target micro-Doppler information, extract the depth information, and realize the target detection and recognition task.

Citation Download Citation

ShiAng Zhang, Shuang Zhao, DaYu Wang, and HongWei Yang "Research on target recognition technology of road surveillance radar", Proc. SPIE 12602, International Conference on Electronic Information Engineering and Computer Science (EIECS 2022), 126021B (20 April 2023); https://doi.org/10.1117/12.2668017

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