中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Real-time vehicle detection algorithm based on a lightweight You-Only-Look-Once (YOLOv5n-L) approach

文献类型:期刊论文

作者M. L. Bie; Y. Y. Liu; G. N. Li; J. T. Hong and J. Li
刊名Expert Systems with Applications
出版日期2023
卷号213页码:9
ISSN号0957-4174
DOI10.1016/j.eswa.2022.119108
英文摘要A vehicle detection algorithm is of great significance for automatic driving technology. Current vehicle detection algorithms suffer from the complex structure, high configuration of hardware requirements, and the difficulty to apply to mobile terminal equipment. In order to solve these issues, this paper proposes an improved YOLOv5 algorithm, named YOLOv5n-L, for lightweight. First, a depthwise separable convolution and a C3Ghost module are used to replace several C3 modules to reduce the model parameters and improve the detection speed. Then a Squeeze-and-Excitation attention mechanism is integrated into backbone network to improve the accuracy of the algorithm and suppress the environmental interference. Finally, a bidirectional feature pyramid network is used for multi-scale feature fusion to enrich feature information and improve the feature extraction ability of the proposed algorithm. The experimental results demonstrate that compared with the original algorithm, the model weight is reduced by 40 % to only 2.3 M. The mean average precision (mAP@0.5) is increased by 1.7 %. The detection speed reaches 80 FPS, which could accurately detect vehicle targets in real-time.
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语种英语
源URL[http://ir.ciomp.ac.cn/handle/181722/67021]  
专题中国科学院长春光学精密机械与物理研究所
推荐引用方式
GB/T 7714
M. L. Bie,Y. Y. Liu,G. N. Li,et al. Real-time vehicle detection algorithm based on a lightweight You-Only-Look-Once (YOLOv5n-L) approach[J]. Expert Systems with Applications,2023,213:9.
APA M. L. Bie,Y. Y. Liu,G. N. Li,&J. T. Hong and J. Li.(2023).Real-time vehicle detection algorithm based on a lightweight You-Only-Look-Once (YOLOv5n-L) approach.Expert Systems with Applications,213,9.
MLA M. L. Bie,et al."Real-time vehicle detection algorithm based on a lightweight You-Only-Look-Once (YOLOv5n-L) approach".Expert Systems with Applications 213(2023):9.

入库方式: OAI收割

来源:长春光学精密机械与物理研究所

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