Modular Traffic Sign Recognition applied to on-vehicle real-time visual detection of American and European speed limit signs

by   Fabien Moutarde, et al.

We present a new modular traffic signs recognition system, successfully applied to both American and European speed limit signs. Our sign detection step is based only on shape-detection (rectangles or circles). This enables it to work on grayscale images, contrary to most European competitors, which eases robustness to illumination conditions (notably night operation). Speed sign candidates are classified (or rejected) by segmenting potential digits inside them (which is rather original and has several advantages), and then applying a neural digit recognition. The global detection rate is 90 U.S. and E.U. speed signs, with a misclassification rate <1 false alarm in >150 minutes of video. The system processes in real-time 20 frames/s on a standard high-end laptop.


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Detect and recognize speed limit traffic signs

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