Application of Learning Automata Techniques to Automated Highway Systems: Intelligent Control of Vehicles
Conference Paper, Proceedings of 7th IEEE International Conference on Tools with Artificial Intelligence (ICTAI '95), pp. 216 - 223, November, 1995
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.
BibTeX
@conference{Unsal-1995-14024,author = {Cem Unsal and J. S. Bay and P. Kachroo},
title = {Application of Learning Automata Techniques to Automated Highway Systems: Intelligent Control of Vehicles},
booktitle = {Proceedings of 7th IEEE International Conference on Tools with Artificial Intelligence (ICTAI '95)},
year = {1995},
month = {November},
pages = {216 - 223},
}
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