✦ LIBER ✦

Maneuver prediction for road vehicles based on a novel neuro-fuzzy dynamic architecture

✍ Scribed by Ana Toledo; Rafael Toledo-Moreo; José Manuel Cano-Izquierdo; Miguel Pinzolas-Prado

Publisher: Elsevier Science
Year: 2010
Tongue: English
Weight: 405 KB
Volume: 58
Category: Article
ISSN: 0921-8890
DOI: 10.1016/j.robot.2010.09.002

No coin nor oath required. For personal study only.

✦ Synopsis

Collision avoidance systems for road vehicles may benefit from timely predictions of vehicle maneuvers. This article presents a novel approach for the prediction of maneuvers that copes with noisy measurements and is based on a supervised version of a dynamic FasArt method (SdFasArt). Additionally, the use of size-dependent scatter matrices to compute the activation of the neurons makes the algorithm more adaptable to different data distributions. The results obtained in real tests confirm the goodness of the method.

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