Road traffic accidents caused approximately 1.35 million deaths worldwide in 2016. Active driver assistance systems (ADASs) have been shown to dramatically reduce traffic accidents and causalities. The current global ADAS market of $27 billion is expected to grow to $83 billion by 2030. Multiple active safety features and some level of autonomy have already been introduced in the majority of commercial vehicles, and the automotive industry is progressing toward autonomous driving. An autonomous vehicle substitutes human drivers in both sensing and decision making. Therefore, it needs to collect information on the host's vehicle location and its surroundings. The situation awareness sensors are used to provide reliable, dense, and timely information on the vehicle's surroundings. In particular, they need to acquire information on the vehicle's drivable path and all objects above the road level. Sensors need to detect, localize, and classify objects that could interfere with autonomous driving.


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    Titel :

    Automotive Imaging and Super-Resolution Radar Systems


    Beteiligte:
    Bilik, I. (Autor:in) / Tabrikian, J. (Autor:in) / Gini, F. (Autor:in)


    Erscheinungsdatum :

    2023-10-01


    Format / Umfang :

    47470 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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