On-demand video focus:

Predicting future vehicle trajectories is a key feature to ensure autonomous driving, especially in a high autonomy urban context. In the presentation, we explore the

• Possibility of using end-to-end imitation learning to predict trajectories for an autonomous vehicle in an urban environment
• The feasibility both in a simulator, CARLA, and on a real car setup
• Impact of auxiliary tasks such as semantic segmentation