Inferring surrounding vehicles' lane change maneuvers is an essential task for advanced driver assistance systems (ADAS) and autonomous vehicles. It involves predicting when and how nearby vehicles may change lanes to ensure safe and efficient driving in a multi-lane environment. Various sensors, such as cameras, LiDAR, and radar, are used to gather data about the surrounding vehicles and their behavior to make accurate inferences. This comparison provides a summary of some recent work for surrounding vehicle's lane change maneuver inference


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    Titel :

    Surrounding vehicle's lane change maneuver inferences


    Beteiligte:

    Erscheinungsdatum :

    2023



    Medientyp :

    Forschungsdaten


    Format :

    Elektronische Ressource


    Sprache :

    Englisch






    PERSONALIZED VEHICLE LANE CHANGE MANEUVER PREDICTION

    WANG ZIRAN / HAN KYUNGTAE / GUPTA ROHIT et al. | Europäisches Patentamt | 2023

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    Lane Change Maneuver for AHS Applications [9438637]

    Chee, W. / Tomizuka, M. / Society of Automotive Engineers of Japan | British Library Conference Proceedings | 1994


    Robust Traffic Vehicle Lane Change Maneuver Recognition

    Sun, Hao / Deng, Weiwen / Su, Chen et al. | British Library Conference Proceedings | 2017


    Robust Traffic Vehicle Lane Change Maneuver Recognition

    Su, Chen / Sun, Hao / Wu, Jian et al. | SAE Technical Papers | 2017