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-and-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 dynamic vehicle model. Practical road tests with the Daimler Benz experimental vehicle Oscar (MB 300 TE station wagon) show good results for both high-and low-speed control.
Neural speed control for autonomous road vehicles
Geschwindigkeitsregelung mit einem neuronalen Netz für fahrerlose Kraftfahrzeuge
Control Engineering Practice ; 4 , 4 ; 507-512
1996
6 Seiten, 4 Bilder, 9 Quellen
Article (Journal)
English
Model-Based Neural Distance Control for Autonomous Road Vehicles
British Library Conference Proceedings | 1996
|Neural control of autonomous vehicles
Automotive engineering | 1992
|Autonomous Vehicles and Road Safety
British Library Conference Proceedings | 2017
|Autonomous Vehicles and Road Safety
Springer Verlag | 2017
|Vision-based Autonomous Road Vehicles
Springer Verlag | 1992
|