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.
Fusing Radar and Vision Data for Cut-In Vehicle Identification in Platooning Applications
Sae Int. J. Adv. and Curr. Prac. in Mobility
WCX SAE World Congress Experience ; 2020
Sae International Journal of Advances and Current Practices in Mobility ; 2 , 6 ; 3044-3050
2020-04-14
7 pages
Conference paper
English
Fusing Radar and Vision Data for Cut-In Vehicle Identification in Platooning Applications
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