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IF 8.2 1区工程技术

IEEE Transactions on Intelligent Vehicles Pub Date : 2024-02-01 DOI: 10.1109/TIV.2024.3394591

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The Transactions on Intelligent Vehicles Information 智能车辆信息论文集

IF 8.2 1区工程技术

IEEE Transactions on Intelligent Vehicles Pub Date : 2024-02-01 DOI: 10.1109/TIV.2024.3377091

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Share Your Preprint Research with the World! 与世界分享您的预印本研究成果

IF 8.2 1区工程技术

IEEE Transactions on Intelligent Vehicles Pub Date : 2024-02-01 DOI: 10.1109/TIV.2024.3394589

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Sora-Based Parallel Vision for Smart Sensing of Intelligent Vehicles: From Foundation Models to Foundation Intelligence 基于 Sora 的并行视觉，用于智能车辆的智能传感：从基础模型到基础智能

IF 8.2 1区工程技术

IEEE Transactions on Intelligent Vehicles Pub Date : 2024-02-01 DOI: 10.1109/TIV.2024.3376575

Hongkai Yu;Xinyu Liu;Yonglin Tian;Yutong Wang;Chao Gou;Fei-Yue Wang

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IEEE Transactions on Intelligent Vehicles Publication Information 电气和电子工程师学会智能车辆论文集》出版信息

IF 8.2 1区工程技术

IEEE Transactions on Intelligent Vehicles Pub Date : 2024-02-01 DOI: 10.1109/TIV.2024.3377089

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Metaverse-Enabled Intelligence for Open-Terrain Field Vehicle Fleets: Leveraging Parallel Intelligence and Edge Computing 开放式地形野外车队的元数据智能：利用并行智能和边缘计算

IF 8.2 1区工程技术

IEEE Transactions on Intelligent Vehicles Pub Date : 2024-02-01 DOI: 10.1109/TIV.2024.3376461

Zhibin Shuai;Zheng Hu;Jiangtao Gai;Yijie Chen;Jicheng Chen;Hui Zhang;Fei-Yue Wang

{"title":"Metaverse-Enabled Intelligence for Open-Terrain Field Vehicle Fleets: Leveraging Parallel Intelligence and Edge Computing","authors":"Zhibin Shuai;Zheng Hu;Jiangtao Gai;Yijie Chen;Jicheng Chen;Hui Zhang;Fei-Yue Wang","doi":"10.1109/TIV.2024.3376461","DOIUrl":"https://doi.org/10.1109/TIV.2024.3376461","url":null,"abstract":"Open-terrain field vehicle (OTFV) fleets, including mining trucks, construction machinery, and agricultural machinery, often encounter significantly more intricate scenarios and unique challenges than road vehicles. Enhancing the intelligence level of OTFV fleets can significantly enhance their operational effectiveness and improve energy efficiency. This perspective paper introduces a metaverse-enabled framework to improve the intelligence levels of OTFV fleets. The metaverse-enabled framework consists of the parallel intelligence-based vehicle fleet control and edge computing-based vehicle dynamics control levels. We first delve into the framework's specifics, covering open-terrain field metaverse, parallel intelligence, edge computing, and human-vehicle cooperation. We further discuss critical issues such as artificial general intelligence (AGI) enabled large control models, vehicle teleoperation, communication privacy, and edge scenario engineering. Additionally, we provide a detailed account of edge computing and integrated domain control within the vehicle dynamics control level, illustrating the interactions among human drivers, domain controllers, vehicle systems and open-terrain field metaverse. Ultimately, the proposed framework can potentially empower intelligence to OTFV fleets and other equipment clusters with complicated system compositions and challenging missions in complex environments.","PeriodicalId":36532,"journal":{"name":"IEEE Transactions on Intelligent Vehicles","volume":"9 2","pages":"3111-3116"},"PeriodicalIF":8.2,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140814069","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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Intelligent Vehicles From Your HomePorts to Underwaters and Low Attitude Airspaces: SLAM for Smart Societies 从港口到水下和低空的智能车辆：智能社会的 SLAM

IF 8.2 1区工程技术

IEEE Transactions on Intelligent Vehicles Pub Date : 2024-02-01 DOI: 10.1109/TIV.2024.3373614

Fei-Yue Wang

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Advanced Air Mobility: An Innovation for Future Diversified Transportation and Society 先进的空中交通：未来多元化交通和社会的创新

IF 8.2 1区工程技术

IEEE Transactions on Intelligent Vehicles Pub Date : 2024-02-01 DOI: 10.1109/TIV.2024.3377464

Jingqiu Guo;Long Chen;Lingxi Li;Xiaoxiang Na;Ljubo Vlacic;Fei-Yue Wang

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Sora for Senarios Engineering of Intelligent Vehicles: V&V, C&C, and Beyonds Sora for Senarios Engineering of Intelligent Vehicles：V&V、C&C 和 Beyonds

IF 8.2 1区工程技术

IEEE Transactions on Intelligent Vehicles Pub Date : 2024-02-01 DOI: 10.1109/TIV.2024.3379989

Xuan Li;Qinghai Miao;Lingxi Li;Qinghua Ni;Lili Fan;Yutong Wang;Yonglin Tian;Fei-Yue Wang

{"title":"Sora for Senarios Engineering of Intelligent Vehicles: V&V, C&C, and Beyonds","authors":"Xuan Li;Qinghai Miao;Lingxi Li;Qinghua Ni;Lili Fan;Yutong Wang;Yonglin Tian;Fei-Yue Wang","doi":"10.1109/TIV.2024.3379989","DOIUrl":"https://doi.org/10.1109/TIV.2024.3379989","url":null,"abstract":"The advent of Scenarios Engineering (SE) paves the way to a new era of intelligent vehicles (IVs), driven by Artificial Intelligence (AI)-enabled strategies. It aims at shaping the IVs to be a form that is more relevant to the underlying scenario, thereby accomplishing validation, verification (V&V), and calibration, certification (C&C) of each vehicle. However, such improved capabilities relies on the accumulation and analysis of an unprecedented volume of scenarios. Recently, Sora and other video generation models have opened up new horizons for Imaginative Intelligence. As an extension of TIV-DHW (Distributed/Decentralized Hybrid Workshop) on SE, this letter discusses the potential of Sora to change the scenario generation process by reducing physical shooting, increasing extreme scenario generation, thereby enabling more comprehensive training and testing of IVs. This letter also analyzes the limitations of Sora in accurately model physics and understand cause and effect, which may affect its effectiveness in SE applications. Last, through a comprehensive outlook, this letter aims to provide a potential direction for the development of Sora-like AI technology, thereby promoting the safety, efficiency, reliability, and sustainability of IVs.","PeriodicalId":36532,"journal":{"name":"IEEE Transactions on Intelligent Vehicles","volume":"9 2","pages":"3117-3122"},"PeriodicalIF":8.2,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140814019","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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A Safe Motion Planning and Reliable Control Framework for Autonomous Vehicles 自动驾驶汽车的安全运动规划和可靠控制框架

IF 8.2 1区工程技术

IEEE Transactions on Intelligent Vehicles Pub Date : 2024-01-31 DOI: 10.1109/TIV.2024.3360418

Huihui Pan;Mao Luo;Jue Wang;Tenglong Huang;Weichao Sun

{"title":"A Safe Motion Planning and Reliable Control Framework for Autonomous Vehicles","authors":"Huihui Pan;Mao Luo;Jue Wang;Tenglong Huang;Weichao Sun","doi":"10.1109/TIV.2024.3360418","DOIUrl":"https://doi.org/10.1109/TIV.2024.3360418","url":null,"abstract":"Accurate trajectory tracking is unrealistic in real-world scenarios, however, which is commonly assumed to facilitate motion planning algorithm design. In this paper, a safe and reliable motion planning and control framework is proposed to handle the tracking errors caused by inaccurate tracking by coordinating the motion planning layer and controller. Specifically, motion space is divided into safe regions and risky regions by designing the movement restraint size dependent on tracking error to construct the repulsive potential field. The collision-free waypoint set can then be obtained by combining global search and the proposed waypoint set filtering method. The planned trajectory is fitted by an optimization-based approach which minimizes the acceleration of the reference trajectory. Then, the planned trajectory is checked and modified by the designed anti-collision modification to ensure safety. Using invertible transformation and adaptive compensation allows the transient trajectory tracking errors to be limited within the designed region even with actuator faults. Because tracking error is considered and margined at the planning level, safety and reliability can be guaranteed by the coordination between the planning and control levels under inaccurate tracking and actuator faults. The advantages and effectiveness of the proposed motion planning and control method are verified by simulation and experimental results.","PeriodicalId":36532,"journal":{"name":"IEEE Transactions on Intelligent Vehicles","volume":"9 4","pages":"4780-4793"},"PeriodicalIF":8.2,"publicationDate":"2024-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141315280","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0