Real Time Visual Traffic Lights Recognition Based on Spot Light Detection and Adaptive Traffic Lights Templates de Charette, Raoul ; Nashashibi, Fawzi
Publication details: Bryssel ITS in daily life: 16th world congress and exhibition on intelligent transport systems and services, Stockholm 21-25 September 2009. Paper, 2009Description: 12 sSubject(s): Bibl.nr: VTI P1835:16 [World]Location: Abstract: This paper introduces a new real-time traffic light recognition system for on-vehicle camera applications. This approach has been tested with good results in urban scenes. Thanks to the use of our generic "Adaptive Templates" it would be possible to recognize different kinds of traffic lights from various countries. This approach is mainly based on a spot detection algorithm therefore able to detect lights from a high distance with the main advantage of being not so sensitive to motion blur and illumination variations. The detected spots together with other shape analysis form strong hypothesis we feed our Adaptive Templates Matcher with. Even though it is still in progress, our system was validated in real conditions in our prototype vehicle and also using registered video sequences. The authors noticed a high rate of correctly recognized traffic lights and very few false alarms. Processing is performed in real-time on 640x480 images using a 2.9GHz single core desktop computer.| Cover image | Item type | Current library | Home library | Collection | Shelving location | Call number | Materials specified | Vol info | URL | Copy number | Status | Notes | Date due | Barcode | Item holds | Item hold queue priority | Course reserves | |
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| Statens väg- och transportforskningsinstitut | Available |
This paper introduces a new real-time traffic light recognition system for on-vehicle camera applications. This approach has been tested with good results in urban scenes. Thanks to the use of our generic "Adaptive Templates" it would be possible to recognize different kinds of traffic lights from various countries. This approach is mainly based on a spot detection algorithm therefore able to detect lights from a high distance with the main advantage of being not so sensitive to motion blur and illumination variations. The detected spots together with other shape analysis form strong hypothesis we feed our Adaptive Templates Matcher with. Even though it is still in progress, our system was validated in real conditions in our prototype vehicle and also using registered video sequences. The authors noticed a high rate of correctly recognized traffic lights and very few false alarms. Processing is performed in real-time on 640x480 images using a 2.9GHz single core desktop computer.