Goto

Collaborating Authors

 knowledge-enriched driving world model


DrivingDojo Dataset: Advancing Interactive and Knowledge-Enriched Driving World Model

Neural Information Processing Systems

Driving world models have gained increasing attention due to their ability to model complex physical dynamics. However, their superb modeling capability is yet to be fully unleashed due to the limited video diversity in current driving datasets. We introduce DrivingDojo, the first dataset tailor-made for training interactive world models with complex driving dynamics. We further define an action instruction following (AIF) benchmark for world models and demonstrate the superiority of the proposed dataset for generating action-controlled future predictions.