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Patent drawing for Driver-centric risk assessment: risk object identification via causal inference with intent-aware driving models
US 11,458,987 B2
Computing US 11,458,987 B2 Not in force

Driver-centric risk assessment: risk object identification via causal inference with intent-aware driving models

This invention describes a computer system that predicts what a car's driver will do next. It works by looking at images from the car's perspective, identifying moving objects and features of the road scene. It then combines this information with what it understands about the driver's intentions to forecast their actions. The system specifically uses neural networks to process the images and identify objects.

Why it matters: Filed when AI for complex scene understanding and intent prediction was still nascent. Advances in deep learning and causal AI since 2020 make building robust intent-aware models more feasible.

Status
Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build
SpecializedHeavy software system, AI/ML expertise

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