AReal-time Detection Method of Vehicle Target Based on Improved YOLOv5s Algorithm

AReal-time Detection Method of Vehicle Target Based on Improved YOLOv5s Algorithm

Aiming at the high missed detection rate of small target vehicles and the heterogeneous redundant frames in video vehicle detection，a real-time vehicle detection algorithm based on improved YOLOv5s was proposed. To improve the detection rate of small target vehicles，an optimization of the...

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Bibliographic Details
Main Authors: CHEN Xiufeng, WANG Chengxin, WU Yuechen, GU Kexin
Format: Article
Language:zho
Published: Harbin University of Science and Technology Publications 2024-02-01
Series:Journal of Harbin University of Science and Technology
Subjects:
vehicle detection
deep learning
the improved yolov5 algorithm
small target detection
heterogeneous redundant frames
Online Access:https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=2300
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