1–20 von 197 Ergebnissen
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    Trustworthy Intelligent Vehicle Systems Based on TRUE Autonomous Organizations and Operations: A New Perspective

    Liang, Xiaolong / Li, Juanjuan / Qin, Rui et al. | IEEE | 2024
    Verlag: IEEE

    Autonomous Navigation for eVTOL: Review and Future Perspectives

    Wei, Henglai / Lou, Baichuan / Zhang, Zezhong et al. | IEEE | 2024
    Verlag: IEEE

    MetaScenario: A Framework for Driving Scenario Data Description, Storage and Indexing

    Chang, Cheng / Cao, Dongpu / Chen, Long et al. | IEEE | 2023
    Verlag: IEEE

    Data Augmented Deep Behavioral Cloning for Urban Traffic Control Operations Under a Parallel Learning Framework

    Li, Xiaoshuang / Ye, Peijun / Jin, Junchen et al. | IEEE | 2022
    Verlag: IEEE

    Parallel Learning-Based Steering Control for Autonomous Driving

    Tian, Fangyin / Li, Zhiheng / Wang, Fei-Yue et al. | IEEE | 2023
    Verlag: IEEE

    Crowdsensing Intelligence by Decentralized Autonomous Vehicles Organizations and Operations

    Zhu, Zhengqiu / Wang, Xiao / Zhao, Yong et al. | IEEE | 2022
    Verlag: IEEE

    HMDRL: Hierarchical Mixed Deep Reinforcement Learning to Balance Vehicle Supply and Demand

    Xi, Jinhao / Zhu, Fenghua / Ye, Peijun et al. | IEEE | 2022
    Verlag: IEEE

    Call for V&VIV: Verification and Validation of Intelligent Vehicles

    Wang, Fei-Yue / Ibanez-Guzman, Javier / Lv, Yisheng | IEEE | 2022
    Verlag: IEEE

    Two-Level Energy Control Strategy Based on ADP and A-ECMS for Series Hybrid Electric Vehicles

    Shen, Zhen / Luo, Can / Dong, Xisong et al. | IEEE | 2022
    Verlag: IEEE

    Deep Deterministic Policy Gradient for High-Speed Train Trajectory Optimization

    Ning, Lingbin / Zhou, Min / Hou, Zhuopu et al. | IEEE | 2022
    Verlag: IEEE

    Acting as a Decision Maker: Traffic-Condition-Aware Ensemble Learning for Traffic Flow Prediction

    Chen, Yuanyuan / Chen, Hongyu / Ye, Peijun et al. | IEEE | 2022
    Verlag: IEEE

    Crowd Sensing Intelligence for ITS: Participants, Methods, and Stages

    Zhao, Yong / Hu, Cong / Zhu, Zhengqiu et al. | IEEE | 2023
    Verlag: IEEE

    Event-Triggered Deep Reinforcement Learning Using Parallel Control: A Case Study in Autonomous Driving

    Lu, Jingwei / Han, Liyuan / Wei, Qinglai et al. | IEEE | 2023
    Verlag: IEEE

    ClusterST: Clustering Spatial–Temporal Network for Traffic Forecasting

    Luo, Guiyang / Zhang, Hui / Yuan, Quan et al. | IEEE | 2023
    Verlag: IEEE