Title :
Real-time traffic sign recognition system
Author :
Kardkovács, Zsolt T. ; Paróczi, Zsombor ; Varga, Endre ; Siegler, Ádám ; Lucz, Péter
Author_Institution :
U1 Res. Ltd., Budapest, Hungary
Abstract :
Traffic sign recognition (TSR) is one of the most important background research topics for enabling autonomous vehicle driving systems. Autonomous driving systems require special handling of input data: there is no time for complex transformations or sophisticated image processing techniques, they need a solid and real-time analysis of a situation. This challenge get more difficult to meetin a city like environment where multiple traffic signs, ads, parking vehicles, pedestrians, and other moving or background objects make the recognition much more difficult. While numerous solutions have been published, solutions are tested on autoways, country-side, or at a very low speed. In this paper, we give a short overview on main problems and known strategies to solve these problems, and we give a general solution to tackle real-time issues in urban traffic sign recognition.
Keywords :
data handling; image motion analysis; image recognition; mobile robots; road traffic; traffic engineering computing; autonomous vehicle driving systems; data handling; image recognition; parking vehicles; real-time traffic sign recognition system; urban traffic sign recognition; Cameras; Image color analysis; Image recognition; Meteorology; Real time systems; Shape; Streaming media;
Conference_Titel :
Cognitive Infocommunications (CogInfoCom), 2011 2nd International Conference on
Conference_Location :
Budapest
Print_ISBN :
978-1-4577-1806-9
Electronic_ISBN :
978-963-8111-78-4