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.