With the development of society, technological progress, and new needs, autonomous driving has become a trendy topic in smart cities. Due to technological limitations, autonomous driving is used mainly in limited and low-speed scenarios such as logistics and distribution, shared transport, unmanned retail, and other systems. On the other hand, the natural driving environment is complicated and unpredictable. As a result, to achieve all-weather and robust autonomous driving, the vehicle must precisely understand its environment. The self-driving cars are outfitted with a plethora of sensors to detect their environment. In order to provide researchers with a better understanding of the technical solutions for multi-sensor fusion, this paper provides a comprehensive review of multi-sensor fusion 3D object detection networks according to the fusion location, focusing on the most popular LiDAR and cameras currently in use. Furthermore, we describe the popular datasets and assessment metrics used for 3D object detection, as well as the problems and future prospects of 3D object detection in autonomous driving.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Multi-Sensor Fusion Technology for 3D Object Detection in Autonomous Driving: A Review


    Beteiligte:
    Wang, Xuan (Autor:in) / Li, Kaiqiang (Autor:in) / Chehri, Abdellah (Autor:in)


    Erscheinungsdatum :

    2024-02-01


    Format / Umfang :

    5865370 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Multi-sensor fusion for autonomous driving

    Zhang, Xinyu / Li, Jun / Li, Zhiwei et al. | TIBKAT | 2023


    Sensor fusion system for object recognition of autonomous driving system

    SUNG KWANG MO / KWAG SU JIN / LEE JONG KEUN et al. | Europäisches Patentamt | 2023

    Freier Zugriff

    Autonomous driving trolley device based on multi-sensor fusion slam

    ZHONG HONGLONG / JIANG HONG / ZHANG XIANGFENG et al. | Europäisches Patentamt | 2024

    Freier Zugriff