2012 Special Issue: Multi-column deep neural network for traffic sign classification

Volume: 32, Pages: 333 - 338
Published: Aug 1, 2012
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
Volume
32
Pages
333 - 338
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