Deep Learning is going to be in every module of the Self-Driving Car software stack. These deep learning models use data as their learning material, and the quality of the data they are trained on determines their performance. As a result, choosing the optimum training dataset is just as crucial as designing the model itself.
Furthermore, there is always a case with autonomous driving where we don’t have data and our model doesn’t know what to do. As a result, the models must be trained on as much and diverse data as possible. As a consequence, they’d be equipped to deal with unusual situations in the actual world.