Please use this identifier to cite or link to this item:
http://hdl.handle.net/10553/45493
Title: | A survey on traffic light detection | Authors: | Diaz, Moises Cerri, Pietro Pirlo, Giuseppe Ferrer, Miguel A. Impedovo, Donato |
UNESCO Clasification: | 3307 Tecnología electrónica | Keywords: | Traffic light detection survey Pattern Recognition Image Processing and Computer Vision |
Issue Date: | 2015 | Publisher: | Springer | Journal: | Lecture Notes in Computer Science | Conference: | 18th International Conference on Image Analysis and Processing (ICIAP) 18th International Conference on Image Analysis and Processing, ICIAP 2015 BioFor, CTMR, RHEUMA, ISCA, MADiMa, SBMI, and QoEM |
Abstract: | Traffic light detection is an important matter in urban environments during the transition to fully autonomous driving. Many literature has been generated in the recent years approaching different pattern recognition strategies. In this paper we present a survey summarizing relevant works in the field of detection of both suspended and supported traffic light. This survey organizes different methods highlighting main reasearch areas in the computer vision field. | URI: | http://hdl.handle.net/10553/45493 | ISBN: | 978-3-319-23221-8 | ISSN: | 0302-9743 | DOI: | 10.1007/978-3-319-23222-5_25 | Source: | New Trends in Image Analysis and Processing -- ICIAP 2015 Workshops. ICIAP 2015. Lecture Notes in Computer Science, v. 9281 LNCS, p. 201-208 |
Appears in Collections: | Capítulo de libro |
Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.