Vehicles and methods for performing tasks based on confidence in accuracy of module output

A vehicle is designed to decide whether to perform a specific action, such as driving along or maintaining a particular path, only if it's sufficiently confident in the accuracy of the information its internal systems are providing for that decision. If the vehicle's systems are confident enough about a proposed action, like staying in its current lane, it will proceed with that action.

Why it matters: Filed before the widespread maturity of AI/ML models in autonomous driving. The ability to generate and interpret robust confidence scores from these models for critical decisions like trajectory planning has significantly advanced, making this approach more practical for enhancing vehicle safety and reliability.

Status: ExpiredProtection ended and was never renewed
How hard to build: SpecializedComplex software, vehicle control integration

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