Document Type

Conference Proceeding

Abstract

We suggest an intelligent controller for an automated vehicle to plan its own trajectory based on sensor and communication data received. Our intelligent controller is based on an artificial intelligence technique called learning stochastic automata. The automaton can learn the best possible action to avoid collisions using the data received from on-board sensors. The system has the advantage of being able to work in unmodeled stochastic environments. Simulations for the lateral control of a vehicle using this AI method provides encouraging results.

Disciplines

Artificial Intelligence and Robotics | Controls and Control Theory | Systems and Communications | Transportation | Urban Studies and Planning

Comments



Permissions

©1995 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

Publisher Citation

Unsal, Cem, John S. Bay, and Pushkin Kachroo. "Intelligent control of vehicles: Preliminary results on the application of learning automata techniques to automated highway system." In Tools with Artificial Intelligence, 1995. Proceedings., Seventh International Conference on, pp. 216-223. IEEE, 1995.