Object Detection in Adverse Weather for Autonomous Vehicles Based on Sensor Fusion and Incremental Learning

被引:0
|
作者
Su, Huiping [1 ]
Gao, Hongbo [2 ,3 ,4 ]
Wang, Xinmiao [1 ]
Fang, Xiaozhao [5 ]
Liu, Qingchao [6 ]
Huang, Guang-Bin [7 ]
Li, Xin [8 ]
Cao, Qi [8 ]
机构
[1] University of Science and Technology of China, School of Information Science and Technology, Department of Automation, Hefei,230026, China
[2] University of Science and Technology of China, School of Information Science and Technology, Institute of Advanced Technology, Department of Automation, Hefei,230026, China
[3] State Key Laboratory of Intelligent Vehicle Safety Technology, Chongqing,401133, China
[4] Nanyang Technological University, Jurong West,639798, Singapore
[5] Guangdong University of Technology, School of Automation, Guangzhou,510006, China
[6] Jiangsu University, School of Automotive and Traffic Engineering, Jiangsu,212013, China
[7] Southeast University, School of Automation, the Key Laboratory of Measurement and Control of Complex Systems of Engineering, Ministry of Education, Nanjing,210096, China
[8] University of Glasgow, School of Computing Science, Glasgow,G12 8RZ, United Kingdom
关键词
under Grant 202321; in part by the Chinese Association of Artificial Intelligence (CAAI)- Huawei Mind Spore Open Fund under Grant CAAIXSJLJJ-2022-011A; in part by the State Key Laboratory of Intelligent Vehicle Safety Technology under Grant IVSTSKL-202402; in part by the State Key Laboratory of Intelligent Green Vehicle and Mobility under Grant KFY2417; in part by the State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body under Grant 32215010; and in part by the Wuhu Municipal Science and Technology Program under Grant 2021hg17.This work was supported in part by the National Natural Science Foundation of China (Grant Nos. U20A20225 and U2013601);
D O I
10.1109/TIM.2024.3472860
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