Month: October 2017

I'm going to describe a complete pipeline for Traffic Sign Recognition problem posed in Udacity course "Self-Driving Cars Engineer". Traffic Sign Recognition is a basic, day by day task for self-driving cars. That's why it has to be covered in the series about Self-Driving Cars where I present different projects related to this field. The recognition system processes a traffic sign image extracted from the road scene. Eventually, it should classify that sign into one of 43 categories. In order to make it happen, a Convolutional Neural Network is applied, being trained with 50.000 images beforehand.
More Traffic Sign Recognition using Convolutional Neural Network

Self-Driving Cars