TY - GEN
T1 - Predictive virtual lane using relative motions between a vehicle and lanes
AU - Son, Young Seop
AU - Lee, Seung Hi
AU - Chung, Chung Choo
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84892411312&partnerID=8YFLogxK
U2 - 10.1109/IVS.2013.6629560
DO - 10.1109/IVS.2013.6629560
M3 - Conference contribution
AN - SCOPUS:84892411312
SN - 9781467327558
T3 - IEEE Intelligent Vehicles Symposium, Proceedings
SP - 771
EP - 776
BT - 2013 IEEE Intelligent Vehicles Symposium, IEEE IV 2013
T2 - 2013 IEEE Intelligent Vehicles Symposium, IEEE IV 2013
Y2 - 23 June 2013 through 26 June 2013
ER -