Active Learning, Data Selection, Data Auto-Labeling, and Simulation in Autonomous Driving

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. <a href="https://medium.com/aiguys/active-learning-and-data-auto-labeling-in-autonomous-driving-5d6bec956a38">Click Here</a>