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This paper presents a novel convolutional neural network (CNN)-based traffic sign recognition system and investigates pre- and post-processing methods for enhancing performance. We focus on speed limit signs, the most difficult superclass in the US traffic sign set. The Cuda-convnet is chosen as a suitable model for the traffic sign recognition task with low-resolution training images and limited...
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