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Neural Netw. 2012 Aug;32:333-8. doi: 10.1016/j.neunet.2012.02.023. Epub 2012 Feb 14.

Multi-column deep neural network for traffic sign classification.

Author information

1
IDSIA - USI - SUPSI — Galleria 2, Manno - Lugano 6928, Switzerland. dan@idsia.ch

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 preprocessed data into a Multi-Column DNN (MCDNN) further boosts recognition performance, making the system insensitive also to variations in contrast and illumination.

PMID:
22386783
DOI:
10.1016/j.neunet.2012.02.023
[Indexed for MEDLINE]

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