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Neural Network Approaches for Lateral Control of Autonomous Highway Vehicles
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English
Abstract
The research reported in this paper focuses on the automated steering aspects of intelligent highway vehicles. Proposed is a machine vision system for capturing driver views of the on-coming highway environment. The objective is to investigate various designs of artificial neural networks for processing the resulting images and generating acceptable steering commands for the vehicle. The research effort has involved the construction of a computer graphical simulation system, called the Road Machine, which is used as the experimental environment for analyzing, through simulation, alternative neural network approaches for controlling autonomous highway vehicles. The Road Machine serves as both the training environment and the experimental testing environment for the autonomous highway vehicle. It is composed of five (5) major modules: Highway design, Driver view simulation, Image processing, Neural network design and training, and Autonomous driving simulation. Two types of neural network control structures are under active research, Back-propagation and Adaptive Resonance. The Road Machine is written in C and operates on Silicon Graphics workstations using Unix and the SGI graphics language.
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Citation
Kornhauser, A., "Neural Network Approaches for Lateral Control of Autonomous Highway Vehicles," SAE Technical Paper 912871, 1991, https://doi.org/10.4271/912871.Also In
References
- Fenton, R.E. et al. “Advances Toward the Automated Highway” Highway Research Record 344 Washington, D.C. 1 20 Jan 1971
- Fenton, R.E. et al. “Fundamental Studies in Automatic Vehicle Control, Final Report” Federal Highway Adm. Rept. No. FHWA/RD-80/198 Aug 1981
- Pomerleau, D.A. “ALVINN: An Autonomous Land Vehicle In a Neural Network” Carnegie Mellon Research Rep. CMU-CS-89-107 Jan 1989
- Simpson, P.K. Artificial Neural Systems Pergamon Press 1990
- Rumelhart, D. E. McClelland J.L. Parallel Distributed Processing 1 MIT Press Cambridge, MA 1986
- Carpenter, G. A. Grossberg S. “Invarient Pattern Recognition and Recall by an Attentive Self-organizing ART Architecture in a nonstationary World” Proc. Int. Joint Conf. on Neural Networks 737 745 II 1989
- Carpenter, G. A. Grossberg S. Rosen D.B. “ART 2-A: An Adaptive Resonance Algorithm for Rapid Category Learning and Recognition” Neural Networks 4 493 504 1991
- Gjaja, M. “Implementation of Adaptive Resonance Theory Neural Networks in Mathematica” Human Information Processing Group Tech Rep. HIP/RESL 91-05 April 1991
- Lubin, J.M. Huber. E. Ross M. Kornahuser A. “Directions for the Road Machine and Other Options” Human Information Processing Group Tech Rep. HIP/RESL 91-06 May 1991