Arian Mousakhan

Overcoming Challenges of Long-Horizon Prediction in Driving World Models

Existing world models for autonomous driving struggle with long-horizon generation and generalization to challenging scenarios. In this work, we develop a model using simple design choices, and without additional supervision or sensors, such as maps, depth, or multiple cameras. We show that our mode…