Giving the machines the ability to see and understand the overall context of what they are looking is the ultimate goal of Computer Vision. Simultaneously, Deep Learning aims at schematize the human brain structure building models that will learn from huge amount of data. From the combination of this two Machine Learning fields comes out lots of algorithms that reaches state-of-the-art performances on many tasks, including the one of the autonomous driving. It is important, in fact, that self-driving cars understand the environment where they are operating and that’s why have been developed the so-called semantic segmentation and domain adaptation networks.