Fusing Radar and Vision Data for Cut-In Vehicle Identification in Platooning Applications Conference Paper uri icon


  • 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.

published proceedings

  • SAE International Journal of Advances and Current Practices in Mobility

author list (cited authors)

  • Liu, M., Rathinam, S., Lukuc, M., & Gopalswamy, S.

citation count

  • 4

complete list of authors

  • Liu, Mengke||Rathinam, Sivakumar||Lukuc, Mike||Gopalswamy, Swaminathan