Steering Angle Prediction by a Deep Neural Network and its Domain Adaption Ability
The goal of this thesis is to design an artificial neural network for self-driving vehicles in regards to steering the vehicle. The performance of the networks is evaluated on a simulated race track in addition to more conventional metrics such as cost/loss. In the main part of the project the networks were trained on data from real-life driving and validated/tested on simulated data, which is an