After playing with lane lines detection and traffic signs recognition, it’s time to feed a Deep Neural Network with a video recorded during human driving. The model will be trained afterwards to act “humanlike” and predict correct steering angles while…
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…
Hough Lines Transform is the key method used in the previous project where lane lines are detected. It is very helpful in many Computer Vision applications. The original form of Hough Transform aimed to identify straight lines. And that’s what…
Although Deep Neural Networks play bigger and bigger role in scene recognition, classic Computer Vision methods are still valid and are applied to problems from autonomous cars industry. I’m going to present how to perform lane lines detection using OpenCV…
Isn’t it beautiful that having only a computer, internet connection and some software skills you can learn and develop things which relate to the most cutting-edge technologies today? And I don’t mean only pure software business like web services, social…
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