Improved YOLOx-based vehicle detection method for low light environment
Image Processing|更新时间:2024-06-27
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Improved YOLOx-based vehicle detection method for low light environment
“In the field of vehicle detection in low light environments such as highway tunnels, researchers have proposed an improved YOLOx algorithm that significantly improves detection accuracy and real-time performance through image enhancement and network structure optimization, providing an efficient solution for vehicle detection.”
Chinese Journal of Liquid Crystals and DisplaysVol. 39, Issue 6, Pages: 801-812(2024)
作者机构:
1.西安建筑科技大学 信息与控制工程学院, 陕西 西安 710055
2.江苏省交通工程建设局, 江苏 南京 210004
3.中国建筑西北设计研究院有限公司, 陕西 西安 710018
作者简介:
基金信息:
National Natural Science Foundation of China(51678470)
YANG Xiaohan, WANG Jun, DUAN Zhongxing, et al. Improved YOLOx-based vehicle detection method for low light environment[J]. Chinese journal of liquid crystals and displays, 2024, 39(6): 801-812.
DOI:
YANG Xiaohan, WANG Jun, DUAN Zhongxing, et al. Improved YOLOx-based vehicle detection method for low light environment[J]. Chinese journal of liquid crystals and displays, 2024, 39(6): 801-812. DOI: 10.37188/CJLCD.2023-0166.
Improved YOLOx-based vehicle detection method for low light environment