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

Event
WCX SAE World Congress Experience
Authors Abstract
Content
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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DOI
https://doi.org/10.4271/2020-01-0102
Pages
7
Citation
Liu, M., Rathinam, S., Lukuc, M., and Gopalswamy, S., "Fusing Radar and Vision Data for Cut-In Vehicle Identification in Platooning Applications," Advances and Current Practices in Mobility 2(6):3044-3050, 2020, https://doi.org/10.4271/2020-01-0102.
Additional Details
Publisher
Published
Apr 14, 2020
Product Code
2020-01-0102
Content Type
Journal Article
Language
English