An, P.E., Brown, M. and Harris, C.J.
On Real Time Vehicle Guidance and Driver Modelling Within Prometheus.
7th Symposium on Transportation Systems: Theory and Application of Advanced Technology
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This paper presents our current driver modeling and vehicle guidance results for use within Prometheus. Both applications are implemented using B-Splines because of their fuzzy interpretability, fast learning convergence and minimum learning interference. The driver modeling results suggest that the past history of throttle angle tends to dominate, as indicated by its bias and lag in the driver model. Also, the training data exhibit measureable nonlinearity, and the degree is expected to increase for more complicated scenarios. Whereas for the parking problem the generalization performance is improved for a range of initial conditions via model adaptation, initialization and edition.
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