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The paper Multi-column Deep Neural Networks for Image Classification (pages 7-8) shows an attempt at recognizing the traffic signs, with lower error rates, by using multi-column deep neural networks.

Are Google cars using similar techniques of predicting signs using DNN, or are they using some other method?

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I'm not sure what Google is using to perform that task, but most companies use region based convolutional neural nets to locate traffic signs and other objects.

But other companies use a deep neural network + bag of words approach to find objects.

See: Bag-of-Words Based Deep Neural Network for Image Retrieval which shows a general approach, to get the exact location you can use Feature Matching or Random Boxes.

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  • $\begingroup$ researchgate.net/publication/… this link shows a general approach, to get the exact location you can use Feature Matching or Random Boxes $\endgroup$
    – simonepi
    Sep 9, 2016 at 11:17

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