Study on Intelligent Vehicle Steering Control Algorithm Using SVM

  • Yuan Zhu
  • Xinxi X. Xu
  • Youchun C. Xu
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 163)


The traditional steering control algorithms require accurately dynamic and mechanic model which are very difficult. Aiming at the intelligent vehicle model, a vision-based support vector machine (SVM) steering control algorithm for autonomous navigation of vehicle is brought forward in this paper. With the input of white-line position values of a road map, the algorithm outputs the steering angle of the front wheels. 190 groups of image data is trained by SVM, which contain 20 groups of linear state models as well as 170 groups of turning state model. The test indicates that the algorithm can learn the control tactic of the operator very well, and has better stability and robustness.


Intelligent vehicle Steering control Support victor machine 


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Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  1. 1.Institute of Medical Equipment, Academy of Military Medical SciencesTianjinChina
  2. 2.Department of Automobile EngineeringAcademy of Military TransportationTianjinChina

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