Zhihui Chen¹, Xiaoyan Chen¹, Xiaoning Yan², Shuangwu Zheng^2
1Tianjin University of Science and Technology, No. 1038 Dagu Nanlu, Hexi District, Tianjin, China
²Shenzhen softsz co. ltd, Shenzhen, China
pp. 171-176
ABSTRACT
With the continuous improvement of social development level, traffic has become complicated. Therefore, the detection of pedestrian and vehicles becomes important. There are many application scenarios for pedestrian-vehicle detection, such as autonomous driving and transportation. This paper mainly introduces the research status of pedestrian-vehicle detection, analyzes the advantages and disadvantages of various current target detection algorithms, and focuses on YOLOv5 algorithm. Because the YOLOv5 model is much smaller than YOLOv4, and YOLOv5 also has strong detection ability. Finally, YOLOv5 is used to carry out pedestrian-vehicle detection experiments. The results the detection accuracy is improved slightly.

ARTICLE INFO
Article History
Received 25 November 2021
Accepted 27 September 2022

Keywords
Pedestrian
Vehicle
Detection
YOLOv5

JAALR2402

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