<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>

CC BY-SA 3.0
2016-09-09T11:17:26.453Z
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
simonepi
CC BY-SA 4.0
2016-09-09T11:09:38.703Z
2019-06-20T15:00:05.697Z
2019-06-20T15:00:05.697Z
simonepi
<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>

<deep-learning><image-recognition><classification><autonomous-vehicles><google>
How do Google cars recognize the traffic signs?
kenorb
# 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


---

## 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  

---

