Adaptative road lanes detection and classification

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dc.contributor.author Collado Hernáiz, Juan Manuel
dc.contributor.author Hilario Gómez, Cristina
dc.contributor.author Escalera Hueso, Arturo de la
dc.contributor.author Armingol Moreno, José María
dc.date.accessioned 2010-03-03T09:17:43Z
dc.date.available 2010-03-03T09:17:43Z
dc.date.issued 2006-10
dc.identifier.bibliographicCitation Advanced concepts for intelligent vision systems : 8th International Conference, ACIVS 2006, Antwerp, Belgium, September 18-21, 2006. Proceedings. Springer, 2006, p. 1151-1162
dc.identifier.isbn 978-3-540-44630-9
dc.identifier.issn 0302-9743 (Print)
dc.identifier.issn 1611-3349 (Online)
dc.identifier.uri http://hdl.handle.net/10016/7108
dc.description Proceeding of: 8th International Conference, ACIVS 2006, Antwerp, Belgium, September 18-21, 2006
dc.description.abstract This paper presents a Road Detection and Classification algorithm for Driver Assistance Systems (DAS), which tracks several road lanes and identifies the type of lane boundaries. The algorithm uses an edge filter to extract the longitudinal road markings to which a straight lane model is fitted. Next, the type of right and left lane boundaries (continuous, broken or merge line) is identified using a Fourier analysis. Adjacent lanes are searched when broken or merge lines are detected. Although the knowledge of the line type is essential for a robust DAS, it has been seldom considered in previous works. This knowledge helps to guide the search for other lanes, and it is the basis to identify the type of road (one-way, two-way or freeway), as well as to tell the difference between allowed and forbidden maneuvers, such as crossing a continuous line.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Springer
dc.relation.ispartofseries Lecture notes in computer science, vol. 4179
dc.rights © Springer-Verlag
dc.title Adaptative road lanes detection and classification
dc.type article
dc.type conferenceObject
dc.type.review PeerReviewed
dc.description.status Publicado
dc.relation.publisherversion http://dx.doi.org/10.1007/11864349_105
dc.subject.eciencia Robótica e Informática Industrial
dc.identifier.doi 10.1007/11864349_105
dc.rights.accessRights openAccess
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