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.
Automated guided vehicle systems; Intelligent control systems; Machine learning
Artificial Intelligence and Robotics | Controls and Control Theory | Systems and Communications | Transportation | Urban Studies and Planning
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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.
Bay, J. S.,
Intelligent control of vehicles: Preliminary results on the application of learning automata techniques to automated highway system.
IEEE International Conference on Tools with Aritifical Intelligence