Fusing Radar and Vision Data for Cut-In Vehicle Identification in Platooning Applications 2020-01-0102
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.
Citation: Liu, M., Rathinam, S., Lukuc, M., and Gopalswamy, S., "Fusing Radar and Vision Data for Cut-In Vehicle Identification in Platooning Applications," SAE Int. J. Adv. & Curr. Prac. in Mobility 2(6):3044-3050, 2020, https://doi.org/10.4271/2020-01-0102. Download Citation
Author(s):
Mengke Liu, Sivakumar Rathinam, Mike Lukuc, Swaminathan Gopalswamy
Affiliated:
Texas A & M University, College Station
Pages: 7
Event:
WCX SAE World Congress Experience
ISSN:
2641-9637
e-ISSN:
2641-9645
Also in:
SAE International Journal of Advances and Current Practices in Mobility-V129-99EJ
Related Topics:
Platooning
Radar
Mathematical models
Sensors and actuators
Trucks
Identification
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