Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/44286
Title: Suspended traffic lights detection and distance estimation using color features
Authors: Diaz-Cabrera, Moises 
Cerri, Pietro
Sanchez-Medina, Javier 
UNESCO Clasification: 120304 Inteligencia artificial
120326 Simulación
332703 Sistemas de transito urbano
Keywords: Image color analysis
Cameras
Estimation
Vehicles
Robustness, et al
Issue Date: 2012
Journal: 2012 15Th International IEEE Conference On Intelligent Transportation Systems (Itsc)
Conference: 15th International IEEE Conference on Intelligent Transportation Systems (ITSC) 
Abstract: Traffic Light Detection is a problem differently approached by many research groups around the world. Here we present a novel technique to detect suspended traffic lights, based on colors and features such as black area of traffic lights or area of lighting lamps. Additionally, the traffic light distance is estimated aiming at slowing down and stopping in the correct position, in case of red light. Some preliminary test results are presented to assess both the detection rate and the distance estimation.
URI: http://hdl.handle.net/10553/44286
ISBN: 978-1-4673-3064-0
ISSN: 2153-0009
DOI: 10.1109/ITSC.2012.6338765
Source: 2012 15Th International IEEE Conference On Intelligent Transportation Systems (Itsc) [ISSN 2153-0009], p. 1315-1320
Appears in Collections:Actas de congresos
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