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Beyond conventional vision:RGB-event fusion for robust object detection in dynamic traffic scenarios

Zhanwen Liu Yujing Sun Yang Wang Nan Yang Shengbo Eben Li Xiangmo Zhao

交通研究通讯（英文）2025，Vol.5Issue(3)：151-163,13.

交通研究通讯（英文）2025，Vol.5Issue(3)：151-163,13.DOI:10.1016/j.commtr.2025.100202

Beyond conventional vision:RGB-event fusion for robust object detection in dynamic traffic scenarios

Zhanwen Liu ¹Yujing Sun ¹Yang Wang ¹Nan Yang ¹Shengbo Eben Li ²Xiangmo Zhao¹

作者信息

1. School of Information Engineering,Chang'an University,Xi'an,710000,China
2. School of Vehicle Mobility & College of AI,Tsinghua University,Beijing,100084,China
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摘要

关键词

dynamic traffic environments/object detection/multimodal fusion/event camera

Key words

dynamic traffic environments/object detection/multimodal fusion/event camera

引用本文复制引用

Zhanwen Liu,Yujing Sun,Yang Wang,Nan Yang,Shengbo Eben Li,Xiangmo Zhao..Beyond conventional vision:RGB-event fusion for robust object detection in dynamic traffic scenarios[J].交通研究通讯（英文）,2025,5(3):151-163,13.

基金项目

This study was supported by the National Natural Science Founda-tion of China(Nos.U24B20127 and 52172302),the National Key R&D Program of China(No.2023YFC3081700),and the Key Research and Development Program of Shaanxi Province(No.2023-LL-QY-24).The authors would like to express their sincere gratitude for this support. （Nos.U24B20127 and 52172302）

交通研究通讯（英文）

ISSN：2772-4247

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