SVM based lateral control for autonomous vehicle

Authors:
Hanqing Zhao;Tao Wu;Daxue Liu;Yang Chen;Hangen He
Affiliations:
Research Institute of Automation, National University of Defense Technology, Changsha, Hunan, China;Research Institute of Automation, National University of Defense Technology, Changsha, Hunan, China;Research Institute of Automation, National University of Defense Technology, Changsha, Hunan, China;Research Institute of Automation, National University of Defense Technology, Changsha, Hunan, China;Research Institute of Automation, National University of Defense Technology, Changsha, Hunan, China
Venue:
ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part III
Year:
2005

Citing 4
Cited 0

Learning to fly

ML92 Proceedings of the ninth international workshop on Machine learning
Analysis and applications of artificial neural networks

Analysis and applications of artificial neural networks
Neural Network Perception for Mobile Robot Guidance

Neural Network Perception for Mobile Robot Guidance
Learning and validation of human control strategies

Learning and validation of human control strategies

Quantified Score

Hi-index	0.00

Visualization

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.