Uncertainty-based data filtering in a vehicle

This invention describes a system for smart data collection in a vehicle, likely an autonomous one. The vehicle uses its sensors to gather information and processes it with a primary artificial intelligence model. If this model's result doesn't match what's expected or what another system (like a second AI model) suggests, the vehicle flags that specific sensor data as uncertain and sends it to a central server for further analysis. This helps focus attention on potentially tricky situations.

Why it matters: Since 2020, advancements in edge AI and specialized hardware have made it more feasible to run multiple sophisticated machine learning models directly on vehicle computers, enabling real-time disagreement detection without constant cloud reliance. This improves the practicality of filtering data at the source for autonomous systems.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware logic, ML models, sensor integration

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