TY - GEN
T1 - Experimental validations on vision-based path tracking with preview four wheel steering control
AU - Peng, Yansong
AU - Wang, Fengchen
AU - Gurumoorthy, Saikrishna
AU - Chen, Yan
AU - Xin, Mutian
N1 - Publisher Copyright:
Copyright © 2019 ASME
PY - 2019
Y1 - 2019
N2 - In this paper, a vision-based path-tracking control strategy using four-wheel steering (4WS) is experimentally investigated via an automated ground vehicle (AGV). A low-cost monocular camera is used to continuously perceive the upcoming lane boundaries via capturing the preview road image frames. Based on the applied image processing algorithms, the vehicle lateral offset error with respect to the road center line and the heading angle error with respect to the road curvature are calculated in real time for the control purpose. The 4WS path-tracking controller is designed to minimize the two path-tracking errors of the AGV. The AGV with the 4WS system is utilized to perform the experimental tests on road to validate the path-tracking control design. For comparison, the road test is also conducted for the path-tracking control with only the front wheel steering. The experimental results show that the proposed 4WS is able to achieve better path-tracking performance.
AB - In this paper, a vision-based path-tracking control strategy using four-wheel steering (4WS) is experimentally investigated via an automated ground vehicle (AGV). A low-cost monocular camera is used to continuously perceive the upcoming lane boundaries via capturing the preview road image frames. Based on the applied image processing algorithms, the vehicle lateral offset error with respect to the road center line and the heading angle error with respect to the road curvature are calculated in real time for the control purpose. The 4WS path-tracking controller is designed to minimize the two path-tracking errors of the AGV. The AGV with the 4WS system is utilized to perform the experimental tests on road to validate the path-tracking control design. For comparison, the road test is also conducted for the path-tracking control with only the front wheel steering. The experimental results show that the proposed 4WS is able to achieve better path-tracking performance.
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U2 - 10.1115/DSCC2019-9159
DO - 10.1115/DSCC2019-9159
M3 - Conference contribution
AN - SCOPUS:85076431725
T3 - ASME 2019 Dynamic Systems and Control Conference, DSCC 2019
BT - Advanced Driver Assistance and Autonomous Technologies; Advances in Control Design Methods; Advances in Robotics; Automotive Systems; Design, Modeling, Analysis, and Control of Assistive and Rehabilitation Devices; Diagnostics and Detection; Dynamics and Control of Human-Robot Systems; Energy Optimization for Intelligent Vehicle Systems; Estimation and Identification; Manufacturing
PB - American Society of Mechanical Engineers (ASME)
T2 - ASME 2019 Dynamic Systems and Control Conference, DSCC 2019
Y2 - 8 October 2019 through 11 October 2019
ER -