Please use this identifier to cite or link to this item: http://repositorio.inesctec.pt/handle/123456789/5093
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dc.contributor.authorVidal,AAen
dc.contributor.authorLuís Paulo Reisen
dc.contributor.authorAntónio Paulo Moreiraen
dc.date.accessioned2017-12-28T12:33:48Z-
dc.date.available2017-12-28T12:33:48Z-
dc.date.issued2013en
dc.identifier.urihttp://repositorio.inesctec.pt/handle/123456789/5093-
dc.description.abstractRobotic autonomous driving is a very complex task that tries to replicate the human behavior when performing such task. This paper presents a high-level overview of an architecture applicable for small-scale vehicles in autonomous driving competitions. A special emphasis is given on the sensory and navigation sub-systems since they are the most prominent intelligent decision layers. The former is almost entirely based on computer vision, processing the raw image content from two ordinary and inexpensive "web-cams", conveying further relevant information to the later, on a real-time basis. The proposed architecture was implemented with minimal interventions to an Ackermann-like vehicle which was originally designed for recreational purposes, serving as a "proof of concept" of the developed system. Results show that a low-cost, scalable and modular system can be easily integrated on regular small-scale vehicles obtaining exciting results at a minimal cost.en
dc.languageengen
dc.relation5741en
dc.relation5157en
dc.rightsinfo:eu-repo/semantics/embargoedAccessen
dc.titleFEUPCAR 2.0: Overview of a Low-cost Robot for Autonomous Driving Competitionsen
dc.typeconferenceObjecten
dc.typePublicationen
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