Answers.Body: <p>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.</p>
  
  <p>But other companies use a deep neural network + bag of words approach to find objects.</p>
  
  <p>See: <a href="https://www.researchgate.net/publication/284505205_Bag-of-Words_Based_Deep_Neural_Network_for_Image_Retrieval" rel="nofollow noreferrer">Bag-of-Words Based Deep Neural Network for Image Retrieval</a> which shows a general approach, to get the exact location you can use <em>Feature Matching</em> or <em>Random Boxes</em>.</p>
  
Answers.ContentLicense: CC BY-SA 3.0
Answers.CreationDate: 2016-09-09T11:17:26.453Z
Answers.Text: https://www.researchgate.net/publication/284505205_Bag-of-Words_Based_Deep_Neural_Network_for_Image_Retrieval this link shows a general approach, to get the exact  location you can use Feature Matching or Random Boxes
Answers.UserDisplayName: simonepi
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2016-09-09T11:09:38.703Z
Answers.LastActivityDate: 2019-06-20T15:00:05.697Z
Answers.LastEditDate: 2019-06-20T15:00:05.697Z
Answers.UserDisplayName: simonepi
Body: <p>The paper <a href="http://repository.supsi.ch/5145/1/IDSIA-04-12.pdf" rel="nofollow noreferrer">Multi-column Deep Neural Networks for Image Classification</a> (pages 7-8) shows an attempt at recognizing the traffic signs, with lower error rates, by using multi-column deep neural networks. </p>
  
  <p>Are Google cars using similar techniques of predicting signs using DNN, or are they using some other method?</p>
  
Tags: <deep-learning><image-recognition><classification><autonomous-vehicles><google>
Title: How do Google cars recognize the traffic signs?
UserDisplayName: kenorb
ThreadText: # How do Google cars recognize the traffic signs?
  
  (Asked by: username_0 on 2016-08-06)
  
  The paper [Multi-column Deep Neural Networks for Image Classification](http://repository.supsi.ch/5145/1/IDSIA-04-12.pdf) (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?
  
  **Tags:** deep-learning, image-recognition, classification, autonomous-vehicles, google
  
  
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  ## 1 answers
  
  ### Answer by username_1 on 2016-09-09. Score: 2
  
  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](https://www.researchgate.net/publication/284505205_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*.
  
  > **Comments:**
  > **username_1**: https://www.researchgate.net/publication/284505205_Bag-of-Words_Based_Deep_Neural_Network_for_Image_Retrieval this link shows a general approach, to get the exact  location you can use Feature Matching or Random Boxes  
  
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