Abstract Nowadays, advanced driver assistance system (ADAS) is one of the utmost emerging matters of intelligent transportation system (ITS). Many sensors, with their own advantages and limitations, are available in market, to be implanted in the vehicle to provide guidance to the driver. Such guidance enables the action of vehicle by providing drivers advanced control and better driving experience. But the choice of sensors among the available sensors is an important issue that needs to be addressed. This paper presents a method, considering multiple constraints, to provide ranking of those sensors to be used to design a robust, reliable, and cost-effective ADAS.


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    Titel :

    Ranking of Sensors for ADAS—An MCDM-Based Approach


    Beteiligte:


    Erscheinungsdatum :

    01.01.2018


    Format / Umfang :

    9 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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