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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Ranking of Sensors for ADAS—An MCDM-Based Approach


    Contributors:


    Publication date :

    2018-01-01


    Size :

    9 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    Ranking dangerous sections of the road using MCDM model

    Dragana Nenadić | DOAJ | 2019

    Free access

    AI ADAS AI BASED ADAS ROOM-MIRROR

    CHOI KWANG JOO | European Patent Office | 2021

    Free access

    ADAS ADAS monitoring event system

    KIM YEONG HUN | European Patent Office | 2021

    Free access

    ADAS V2X V2X COMMUNICATION SYSTEM BASED ON ADAS

    CHOI KWANG JOO | European Patent Office | 2022

    Free access

    Afterloading logistics vehicle ADAS system based on multiple sensors

    WU XIAOCHUANG / YE PENG / LIU SILIANG | European Patent Office | 2024

    Free access