Skill-based vehicle guidance by use of artificial neural networks

Wolfgang Daxwanger and Günther Schmidt

Mathematics and Computers in Simulation (MATCOM), 1996, vol. 41, issue 3, 263-271

Abstract: This article addresses the use of artificial neural networks for vehicle guidance in local maneuvers. As a typical example, the docking or parking of a semi-autonomous robot is studied. In the proposed approach a feed-forward artificial neural network trained by the back-propagation learning algorithm acts as a nonlinear state-space controller reproducing and generalizing the steering actions of a skilled human driver. The results are experimentally validated with the robot vehicle MACROBE.

Date: 1996
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Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:41:y:1996:i:3:p:263-271

DOI: 10.1016/0378-4754(95)00076-3

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