Deep Learning for Autonomous Vehicles

This lecture covers the application of deep learning in the field of autonomous vehicles, focusing on perception, action, and social forecasting. Topics include sensor technologies, human pose estimation, pedestrian localization, trajectory forecasting, and ethical considerations. The instructor presents various models and frameworks developed by the EPFL VITA team, emphasizing the importance of interpretability, predictability, and safety in autonomous systems.