Structuring Neural Network Driver Model and Analyzing Its Characteristics
2000-05-0376
06/12/2000
- Event
- Content
- 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.
- Pages
- 8
- Citation
- Chikamori, S., Kobayashi, M., and Shimizu, Y., "Structuring Neural Network Driver Model and Analyzing Its Characteristics," SAE Technical Paper 2000-05-0376, 2000, .