Name
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. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11427469_29 | ISNN (3) |
Keywords | Field | DocType |
function approximation problem,autonomous vehicle,simple method,pattern recognition,real vehicle show,human driving data,simulation result,data-driven lateral controller,function approximation | Data collection,Control theory,Function approximation,Computer science,Support vector machine,Autonomous system (mathematics),Artificial intelligence,Tracking error | Conference |
Volume | ISSN | ISBN |
3498 | 0302-9743 | 3-540-25914-7 |
Citations | PageRank | References |
0 | 0.34 | 7 |
Authors | ||
5 | ||