Object motion prediction and autonomous vehicle control

This invention describes a system for self-driving cars to predict how other objects, like pedestrians or other vehicles, will move. It works by combining real-time information about an object's location and movement with map data of the surrounding area. This combined information is fed into a computer model that has learned from past data, which then predicts several possible future paths for the object. The system specifically displays these predicted paths as a series of points, each showing how confident the system is about that particular point.

Why it matters: Filed before the latest wave of advanced AI models became widely adopted for complex prediction tasks. The focus on displaying confidence levels for predicted waypoints is now more feasible and critical given the increased demand for explainability and safety assurances in 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Status: Not in forceListed as no longer active.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, machine learning models, sensor integration

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