Abstract
Traffic sign recognition (TSR) is one of the most important background research topics for enabling autonomous vehicle driving systems. Drivers are exposed to a variety of risks while driving as a result of the increase in the number of vehicles on the road, which may result in accidents. Every year, a large number of accidents occur all around the world. The driver's failure to interpret all of the visual information available while driving is the primary cause of these incidents. This challenge get more difficult to meeting 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 pub- lished, 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
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