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Structuring Neural Network Driver Model and Analyzing Its Characteristics
Technical Paper
2000-05-0376
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English
Abstract
Using the results of lane-change tests performed on a driving simulator, driver models were developed by means of a neural-network system. Several kinds of driver visual information were used as input data for structure of the neural network, and the steering angle was employed as learning information. A series of simulations employing the trained neural network was conducted to determine the allowable ranges of initial vehicle position, velocity, stability factor, and other variables for successful lane-change maneuvers and for stable running against side winds.
Authors
Citation
Chikamori, S., Kobayashi, M., and Shimizu, Y., "Structuring Neural Network Driver Model and Analyzing Its Characteristics," SAE Technical Paper 2000-05-0376, 2000.Also In
References
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- Kageyama Ichiro Watanabe Yoshinori Owada Katsuyuki Modeling of Human-Vehicle Systems Using a Neural Network Journal of JSAE 48 12 5 11 1994
- Yoshimoto Kenichi Ogawa Hideki Kubota Hiroshi Lane-Tracing Algorithm Using Visual Information Transactions of JSAE 27 4 101 106 1996