Predictive virtual lane using relative motions between a vehicle and lanes
- Authors
- Son, Young Seop; Lee, Seung-Hi; Chung, Chung Choo
- Issue Date
- Oct-2013
- Publisher
- IEEE
- Citation
- IEEE Intelligent Vehicles Symposium, Proceedings, pp.771 - 776
- Indexed
- SCOPUS
- Journal Title
- IEEE Intelligent Vehicles Symposium, Proceedings
- Start Page
- 771
- End Page
- 776
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/161777
- DOI
- 10.1109/IVS.2013.6629560
- ISSN
- 1931-0587
- Abstract
- In this paper, we propose a new lane estimation method to resolve poor detection performance of a camera system using the relative movement between a vehicle and lanes. In implementation of lane keep system (LKS) or lane change control (LXC), it is necessary to build a robust sensing system in obtaining the road information. When reliable road information is not available, we need virtual lane information to control the steering system. Thus we propose a predictive virtual lane (PVL) method to improve lane detection performance using the relative movement between a vehicle and lanes. The proposed PVL enhances the control performance of LKS/LXC for a while even for the detection failures of one side and/or both side lane marks. The performance of the proposed method was evaluated via simulations implemented with CarSim and Matlab/Simulink. Its performance was also validated with a test vehicle on highway system.
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