This work consists in the study, adaptation and implémentation of neural network algorithms for the change of lane prediction for Adas and autonomous vehicles. The first step was to create a simulated database of scenarios, the second step the implémentation and adaptation of the learning algorithm for this specific application, and then the test and validation of the proof of concept for the cut-in prédiction.