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SVM Based Lateral Control for Autonomous Vehicle

  • Hanqing Zhao
  • Tao Wu
  • Daxue Liu
  • Yang Chen
  • Hangen He
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3498)

Abstract

SVMs have been very successful in pattern recognition and function approximation problems. In this paper, by collecting the human driving data, a data-driven lateral controller for autonomous vehicle based on SVMs is presented. Furthermore, according to the model of the vehicle, a simple method to improve the performance of this controller is introduced. The simulation results and experiments on the real vehicle show that the performance of the controller is satisfactory.

Keywords

Support Vector Machine Support Vector Tracking Error Autonomous Vehicle Differential Global Position System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Hanqing Zhao
    • 1
  • Tao Wu
    • 1
  • Daxue Liu
    • 1
  • Yang Chen
    • 1
  • Hangen He
    • 1
  1. 1.Research Institute of AutomationNational University of Defense TechnologyChangshaChina

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