Human-vehicle detection based on YOLOv5
Zhihui Chen, Xiaoning Yan, Shuangwu Zheng, Xiaoyan Chen · Proceedings of International Conference on Artificial Life and Robotics · 2022
With the continuous improvement of social development level, traffic has become complicated.Therefore, the detection of people and vehicles becomes important.There are many application scenarios for human-vehicle detection, such as autonomous driving and transportation.This paper mainly introduces the research status of humanvehicle 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 human-vehicle detection experiments.The results the detection accuracy is improved slightly.