Model checking for autonomous vehicles

This invention describes a system for an autonomous vehicle that monitors its braking system. It uses sensors to detect brake inputs and outputs, then predicts how the brakes *should* behave, taking into account factors like brake wear. If the actual braking performance doesn't match the prediction, the system triggers an alert.

Why it matters: In 2012, autonomous vehicles were nascent, and the real-time computational power and sensor fidelity needed for such a safety-critical predictive braking system were limited. Today, advancements in AI/ML for predictive modeling and robust, affordable sensor technology make this approach to autonomous braking system monitoring both practical and crucial for deployment.

Status: Not in forceListed as no longer active.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

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