Abstract
In this paper a neural network automotive speed controller is presented which works at low and at high speed-levels using throttle and brake control input. It can be used for autonomous intelligent cruise control including stop & go traffic situations. The network itself consists of a simple multilayer feedforward perceptron network. A special training method is used where the neural network is trained on a detailed nonlinear dynamical vehicle model. Practical roadtests with the Daimler Benz experimental vehicle OSCAR (MB 300 TE station wagon) show good results for both high and low speed control.
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