Nvidia patents method to test self-driving cars with unexpected scenarios
Nvidia describes a system that creates 'surprise' driving situations to help train autonomous vehicles. It works by comparing normal driving paths with altered, counterfactual versions to identify where the car's prediction model might be uncertain or wrong.
In the filing’s own words
Mechanisms to generate surprise potentials that may be utilized to configure autonomous vehicle control logic, the surprise potentials derived from a shift between trajectory distributions generated by a trajectory prediction model having a feedforward prediction structure or diffusion-based structure, and counterfactual trajectory distributions based upon the trajectory distributions of the prediction model.
What exactly they claim (claim 1)
1. A system comprising: a trajectory prediction model configured to transform a driving scenario into candidate trajectories for a vehicle; a counterfactual scenario generator configured to transform the candidate trajectories into altered trajectories; logic configured to: determine a distribution shift between the candidate trajectories and the altered trajectories; and configure autonomous vehicle control logic with driving scenarios selected based on the distribution shift.
Facts
- Company
- Nvidia (NVIDIA Corp.)
- Official title
- SURPRISE POTENTIAL AS A MEASURE OF INTERACTIVITY IN DRIVING SCENARIOS
- Publication number
- US20260316789A1
- Application number
- 19466442
- Filed
- Feb 1, 2026
- Published
- Oct 15, 2026
- Inventors
- 5
- Claims
- 20
Classified under
B60W 60/0017 Operations & transportG06N 3/0499 Physics & computingMore from Nvidia in Cars & transport
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Summaries are simplified from the filing’s own abstract and first claim. A patent filing is not a product announcement.
Patent data and drawings: U.S. Patent and Trademark Office (USPTO). Nebula is not affiliated with or endorsed by the USPTO.
