Identifying vehicles and objects in the vicinity of platooning vehicles is critical for platooning safety. A neighboring vehicle may change lanes and enter a lane with platooning vehicles. Any deployable platooning system must be able to first identify the presence of a cut-in vehicle before performing any control actions on the vehicles. In this article, a sensor fusion algorithm is presented that combines radar and vision data obtained on-board a moving truck to identify the states of the cut-in vehicle. Experimental results are presented to corroborate the performance of the proposed algorithms.


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    Title :

    Fusing Radar and Vision Data for Cut-In Vehicle Identification in Platooning Applications


    Additional title:

    Sae Int. J. Adv. and Curr. Prac. in Mobility


    Contributors:

    Conference:

    WCX SAE World Congress Experience ; 2020



    Publication date :

    2020-04-14


    Size :

    7 pages




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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