YOLOv5-Fog: A Multiobjective Visual Detection Algorithm for Fog Driving Scenes Based on Improved YOLOv5-Reference-Cited by-同舟云学术

YOLOv5-Fog: A Multiobjective Visual Detection Algorithm for Fog Driving Scenes Based on Improved YOLOv5

Published:2022 Issue: Volume:71 Page:1-12
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Wang Hai¹^ORCID,Xu Yansong¹^ORCID,He Youguo²^ORCID,Cai Yingfeng²^ORCID,Chen Long²^ORCID,Li Yicheng²^ORCID,Sotelo Miguel Angel³^ORCID,Li Zhixiong⁴^ORCID

Affiliation:

1. School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang, China

2. Automotive Engineering Research Institute, Jiangsu University, Zhenjiang, China

3. Department of Computer Engineering, University of Alcal, Alcal de Henares, Madrid, Spain

4. Yonsei Frontier Laboratory, Yonsei University, Seoul, Republic of Korea

Funder

National Natural Science Foundation of China

Key Research and Development Program of Jiangsu Province

Jiangsu Province’s Six Talent Peaks

Zhenjiang Key Research and Development Program

Narodowego Centrum Nauki Poland

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/9717300/09851677.pdf?arnumber=9851677

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