Image processing–based wheel steer angle detection

Tian Shu; Yongan Zheng; Zhongke Shi

doi:10.1117/1.JEI.22.4.043005

8 October 2013 Image processing–based wheel steer angle detection

Tian Shu, Yongan Zheng, Zhongke Shi

Author Affiliations +

Journal of Electronic Imaging, Vol. 22, Issue 4, 043005 (October 2013). https://doi.org/10.1117/1.JEI.22.4.043005

Abstract

Wheel steer angle information is crucial for the estimation of vehicle sideslip. Different from previous detection methods using angle sensors, this work presents a new wheel steer angle detection method based on a computer vision system providing image sequences recorded by a camera mounted on a car. The difference between wheel steering right and left is analyzed to determine steer direction while wheel steer angle in the image is derived from the information of the wheel contour extracted by the threshold segmentation and edge extraction. Experimental results show the efficiency of the proposed approach.

Citation Download Citation

Tian Shu, Yongan Zheng, and Zhongke Shi "Image processing–based wheel steer angle detection," Journal of Electronic Imaging 22(4), 043005 (8 October 2013). https://doi.org/10.1117/1.JEI.22.4.043005

Published: 8 October 2013

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