Improved RT-DETR-based pedestrian detection algorithm for low-light conditions at night
Image Processing|更新时间:2025-12-24
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Improved RT-DETR-based pedestrian detection algorithm for low-light conditions at night
“In the field of low light pedestrian detection at night, researchers have proposed a detection algorithm based on improved RT-DETR, which effectively improves detection accuracy and reduces missed detection rates, with good robustness and practicality.”
Chinese Journal of Liquid Crystals and DisplaysVol. 40, Issue 12, Pages: 1881-1893(2025)
作者机构:
1.南京信息工程大学 计算机学院, 江苏 南京 210044
2.无锡学院 物联网工程学院, 江苏 无锡 214105
3.同济大学 嵌入式系统与服务计算教育部重点实验室, 上海 201804
作者简介:
基金信息:
National Natural Science Foundation of China(42305158);Jiangsu Province Industry-Academia-Research Collaboration Project(BY20240827)
LU Yan, LI Fu, QI Mingrui, et al. Improved RT-DETR-based pedestrian detection algorithm for low-light conditions at night[J]. Chinese Journal of Liquid Crystals and Displays, 2025, 40(12): 1881-1893.
DOI:
LU Yan, LI Fu, QI Mingrui, et al. Improved RT-DETR-based pedestrian detection algorithm for low-light conditions at night[J]. Chinese Journal of Liquid Crystals and Displays, 2025, 40(12): 1881-1893. DOI: 10.37188/CJLCD.2025-0205. CSTR: 32172.14.CJLCD.2025-0205.
Improved RT-DETR-based pedestrian detection algorithm for low-light conditions at night