OmniDrive addresses a critical gap in autonomous driving by creating a holistic vision-language dataset that enables full 3D understanding and improved decision-making through counterfactual reasoning.

Key Innovations:

• Extends 2D vision-language capabilities to comprehensive 3D environment understanding
• Uses counterfactual reasoning to evaluate potential scenarios for safer driving decisions
• Creates a first-of-its-kind dataset connecting visual perception with advanced reasoning for autonomous vehicles
• Bridges the gap between academic AI research and real-world driving applications

Engineering Impact: This research provides a foundation for developing more sophisticated autonomous driving systems that can better understand complex traffic scenarios, anticipate potential hazards, and make safer decisions in unpredictable environments.

OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual Reasoning