Traffic sign recognition and analysis for intelligent vehicles

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Mostrar el registro sencillo del ítem Escalera, Arturo de la Armingol, José M. Mata, M. 2010-03-01T14:00:05Z 2010-03-01T14:00:05Z 2003-01
dc.identifier.bibliographicCitation Image and Vision Computing, 2003, vol. 11, n. 3, p. 247-258
dc.identifier.issn 0262-8856
dc.description.abstract This paper deals with object recognition in outdoor environments. In this type of environments, lighting conditions cannot be controlled and predicted, objects can be partially occluded, and their position and orientation is not known a priori. The chosen type of objects is traffic or road signs, due to their usefulness for sign maintenance, inventory in highways and cities, Driver Support Systems and Intelligent Autonomous Vehicles. A genetic algorithm is used for the detection step, allowing an invariance localisation to changes in position, scale, rotation, weather conditions, partial occlusion, and the presence of other objects of the same colour. A neural network achieves the classification. The global system not only recognises the traffic sign but also provides information about its condition or state.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Elsevier
dc.rights © Elsevier Science B.V.
dc.subject.other Object recognition
dc.subject.other Genetic algorithms
dc.subject.other Neural networks
dc.subject.other Traffic sign recognition
dc.subject.other Driver support systems
dc.subject.other Intelligent vehicles
dc.subject.other Intelligent Transportation Systems
dc.title Traffic sign recognition and analysis for intelligent vehicles
dc.type article PeerReviewed
dc.description.status Publicado
dc.subject.eciencia Robótica e Informática Industrial
dc.identifier.doi 10.1016/S0262-8856(02)00156-7
dc.rights.accessRights openAccess
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