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Vehicle trajectory prediction for adaptive cruise control

Authors
Yi, Sung GuKang, Chang MookLee, Seung-HiChung, Chung Choo
Issue Date
Aug-2015
Publisher
IEEE
Citation
IEEE Intelligent Vehicles Symposium, Proceedings, pp.59 - 64
Indexed
SCOPUS
Journal Title
IEEE Intelligent Vehicles Symposium, Proceedings
Start Page
59
End Page
64
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/143397
DOI
10.1109/IVS.2015.7225663
Abstract
In this paper, we propose a new vehicle trajectory prediction algorithm for adaptive cruise control (ACC). When vehicle trajectory prediction is not precise enough, it is possible for a neighboring vehicle to be detected as a target. Thus, we propose a new method using both yaw rate and curvature rate to precisely predict vehicle trajectory and to resolve an undesirable case in ACC system. The proposed method was validated via CarSim and MATLAB/Simulink. Also, we validated the proposed method via experimental results with a test vehicle on highway system for the practicality.
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