Enabling edge computing ability in view-independent vehicle model recognitionOA
Enabling edge computing ability in view-independent vehicle model recognition
Chenglong Liu;Ziyuan Pu;Yishun Li;Ying Jiang;Yinhai Wang;Yuchuan Du
Key Laboratory of Road and Traffic Engineering of the Ministry of Education,Tongji University,Cao'an Road 4800,Shanghai 201804,ChinaSchool of Transportation,Southeast University,Southeast University Road 2,Jiangning District,Nanjing 211189,ChinaKey Laboratory of Road and Traffic Engineering of the Ministry of Education,Tongji University,Cao'an Road 4800,Shanghai 201804,ChinaState Key Laboratory of Coastal and Offshore Engineering,Dalian University of Technology,No.2 Linggong Road,Ganjingzi District,Dalian 116023,Liaoning Province,ChinaSmart Transportation Application and Research Laboratory,Department of Civil and Environmental Engineering,University of Washington,135 More Hall,Seattle,WA 98195,USKey Laboratory of Road and Traffic Engineering of the Ministry of Education,Tongji University,Cao'an Road 4800,Shanghai 201804,China
Vehicle model recognitionEdging computingConvolutional neural networkPosture estimationImage retrieval
Vehicle model recognitionEdging computingConvolutional neural networkPosture estimationImage retrieval
《交通科学与技术（英文）》 2024 (2)
73-86,14
This study was jointly supported by the Scientific Research Project of Shanghai Science and Technology Commission of China(No.21DZ1200601)and the National Natural Science Foundation of China(No.NSFC52108411).I would like to acknowledge the support provided by Qing Su,Yishun Li,Jinsong Yue,etc.for labeling the dataset.
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