2012 Special Issue: Multi-column deep neural network for traffic sign classification
Abstract
We describe the approach that won the final phase of the German traffic sign recognition benchmark. Our method is the only one that achieved a better-than-human recognition rate of 99.46%. We use a fast, fully parameterizable GPU implementation of a Deep Neural Network (DNN) that does not require careful design of pre-wired feature extractors, which are rather learned in a supervised way. Combining various DNNs trained on differently...
Paper Details
Title
2012 Special Issue: Multi-column deep neural network for traffic sign classification
Published Date
Aug 1, 2012
Journal
Volume
32
Pages
333 - 338
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