A COMBINED NEURO-FUZZY SYSTEM TO COMMAND AN AUTONOMOUS AUTOMOBILE FROM VIRTUAL REALITY

Anca-Elena IORDAN, Florin COVACIU

Abstract


The aim of this article consists in implementation of a combined neuro-fuzzy system used to control an autonomous automobile that need to ride in a labyrinth. The three proximity sensors attached at the vehicle are input for the artificial intelligence system and, as outputs, the intelligent strategy is characterized by angle of the front wheels of the autonomous automobile are turned, and automobile speed. Used methodologies were StarUML, C# language programming and opensource framework AForce.NET. The use of the combined neuro-fuzzy system compared to a fuzzy system is clearly superior in the control of the autonomous vehicle.

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