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VEHICLE: 作品数：936被引量：2119H指数：18; 导出分析报告; 相关领域：交通运输工程机械工程更多>>; 相关作者：张为公孙逢春谢志刚马海峰刘建业更多>>; 相关机构：北京理工大学东南大学清华大学北京航空航天大学更多>>; 相关期刊：更多>>; 相关基金：国家自然科学基金国家教育部博士点基金国家高技术研究发展计划国家重点基础研究发展计划更多>>

Pseudo Label Purification with Dual Contrastive Learning for Unsupervised Vehicle Re-Identification: 《Computers, Materials & Continua》2025年第3期3921-3941,共21页Jiyang Xu Qi Wang Xin Xiong Weidong Min Jiang Luo Di Gai Qing Han; supported by the National Natural Science Foundation of China under Grant Nos.62461037,62076117 and 62166026;the Jiangxi Provincial Natural Science Foundation under Grant Nos.20224BAB212011,20232BAB202051,20232BAB212008 and 20242BAB25078;the Jiangxi Provincial Key Laboratory of Virtual Reality under Grant No.2024SSY03151.; The unsupervised vehicle re-identification task aims at identifying specific vehicles in surveillance videos without utilizing annotation information.Due to the higher similarity in appearance between vehicles compare...; 关键词：Unsupervised vehicle re-identification dual contrastive learning pseudo label refinement knowledge distillation

Spatiotemporal Analysis of Pavement Roughness Using Connected Vehicle Data for Asset Management: 《Journal of Transportation Technologies》2025年第1期1-16,共16页Jijo K. Mathew Jairaj Desai Rahul Suryakant Sakhare Jeremy Hunter Darcy M. Bullock; Pavement condition monitoring and its timely maintenance is necessary to ensure the safety and quality of the roadway infrastructure. The International Roughness Index (IRI) is a commonly used measure to quantify road...; 关键词：Connected Vehicles PAVEMENT Pavement Quality ROUGHNESS IRI Dashcam

Evaluation of Crash Contributing Factors: 《Journal of Transportation Technologies》2025年第1期155-178,共24页Ye Dong Jonathan S. Wood; Understanding crash contributing factors is essential in safety management and improvement. These factors drive investment decisions, policies, regulations, and other safety-related initiatives. This paper analyzes fa...; 关键词：Contributing Factors Human Factors Vehicle Factors Environmental Factors Crash Data Vision Zero

Likelihood-based modified Kalman filter for estimating vehicle lateral states with random measurement delay: 《Science China(Technological Sciences)》2025年第3期310-318,共9页Chao YANG Ruixin ZHANG Weida WANG Yuhang ZHANG Jiayi FANG Qi WANG Shouwen YAO; supported by the National Natural Science Foundation of China(Grant No.52394262)。; Accurate lateral state estimation is crucial for ensuring the stability and safety of vehicles.The Kalman filter is widely utilized to estimate the lateral state of vehicles.However,vehicle state measurement suffers f...; 关键词：measurement delay Kalman filter parameter identification likelihood estimation

Unsupervised vehicle re-identification via meta-type generalization: 《High Technology Letters》2025年第1期32-40,共9页HUANG Chengti ZHANG Xiaoxiang ZHAO Qianqian ZHU Jianqing; Supported by the National Natural Science Foundation of China(No.61976098);the Natural Science Foundation for Outstanding Young Scholars of Fujian Province(No.2022J06023).; Unsupervised vehicle re-identification(Re-ID)methods have garnered widespread attention due to their potential in real-world traffic monitoring.However,existing unsupervised domain adaptation techniques often rely on ...; 关键词：deep learning unsupervised vehicle re-identification(Re-ID) META-LEARNING

Technology and equipment of deep-sea mining:State of the art and perspectives: 《Earth Energy Science》2025年第1期65-84,共20页Qi Zhang Xuguang Chen Lubao Luan Fei Sha Xuelin Liu; the National Science Fund for Distinguished Young Scholars(Grant No.52225107);National Key Research and Development Program of China(Grant No.2021YFC2801503)for funding provided to this work.; Rising demand for minerals and metals in high-tech and new energy industries has led to a great interest in exploration of seabed mineral resources.Such resources,including polymetallic nodule(PMN),polymetallic sulphi...; 关键词：Seabed mineral Deep-sea mining Mining vehicle Lifting system Support vessel

Non-stationarity Characteristics in Dynamic Vehicular ISAC Channels at 28 GHz: 《Chinese Journal of Electronics》2025年第1期73-81,共9页Zhengyu Zhang Ruisi He Mi Yang Xuejian Zhang Ziyi Qi Hang Mi Guiqi Sun Jingya Yang Bo Ai; supported by National Key R&D Program of China(Grant No.2023YFB2904802);the National Natural Science Foundation of China(Grant Nos.62301022,62221001,62101507,62271037,and U21A20445);the Young Elite Scientists Sponsorship Program by CAST(Grant No.2022QNRC001);the Program for Science&Technology R&D Plan Joint Fund of Henan Province(Grant No.225200810112);the Science and Technology Project of China Academy of Railway Sciences(Grant No.2023YJ074)。; Integrated sensing and communications(ISAC)is a potential technology of 6G,aiming to enable end-to-end information processing ability and native perception capability for future communication systems.As an important p...; 关键词：Integrated sensing and communication channel Millimeter wave Vehicle-to-everything Channel measurement Non-stationarity Dynamic channel

The Evolution of Traffic Lights:A Comprehensive Analysis of Traffic Management Systems in Shanghai: 《Journal of Electronic Research and Application》2025年第1期330-336,共7页Zhichen Eden Guo; This paper comprehensively analyzes the evolution of traffic light systems in Shanghai,highlighting the technological advancements and their impact on traffic management and safety.Starting from the historical context...; 关键词：Traffic management Traffic light Traffic network Smart city V2I(vehicle-to-infrastructure)

An Improved YOLOv7 Tiny Algorithm for Vehicle and Pedestrian Detection with Occlusion in Autonomous Driving: 《Chinese Journal of Electronics》2025年第1期282-294,共13页Jian Su Fang Wang Wei Zhuang; supported by the National Natural Science Foundation of China(Grant No.61802196)。; Future transportation is advancing in the direction of intelligent transportation systems,where an essential part is vehicle and pedestrian detection.Due to the complex urban traffic environment,vehicles and pedestria...; 关键词：Intelligent transportation system Vehicle and pedestrian detection Attention mechanism Loss function

Vehicle and onboard UAV collaborative delivery route planning:considering energy function with wind and payload: 《Journal of Systems Engineering and Electronics》2025年第1期194-208,共15页GUO Jingfeng SONG Rui HE Shiwei; Fundamental Research Funds for the Central Universities(2024JBZX038);National Natural Science F oundation of China(62076023)。; The rapid evolution of unmanned aerial vehicle(UAV)technology and autonomous capabilities has positioned UAV as promising last-mile delivery means.Vehicle and onboard UAV collaborative delivery is introduced as a nove...; 关键词：vehicle and onboard unmanned aerial vehicle(UAV)collaborative delivery energy consumption function route planning mixed integer linear programming model adaptive large neighborhood search(ALNS)algorithm

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