Vehicle trajectory prediction for adaptive cruise control
- Authors
- Yi, Sung Gu; Kang, Chang Mook; Lee, Seung-Hi; Chung, 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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