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Dynamic neural estimation for autonomous vehicles driving

Alberto Del Bimbo, Leonardo Landi, Simone Santini

Year
2003
Citations
4

Abstract

Mobile robots and vehicles may be driven by dynamical neural networks which utilize image data of real-world scenes collected through a TV camera for learning and performance. An innovative system for road direction detection is proposed which is comprised of three specialized blocks performing edge extraction, image-segments detection, and road direction estimation. The road direction estimation block is implemented as a feedback neural network.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

Keywords

Artificial neural networkComputer scienceArtificial intelligenceBlock (permutation group theory)Computer visionMobile robotRobotFeature extractionImage (mathematics)Enhanced Data Rates for GSM Evolution

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