Autonomous vehicle motion control systems and methods

This invention describes a system for autonomous vehicles to control their movement. It works by using sensors to detect objects around the vehicle and then processing that data with a machine-learned model. This model specifically determines if an object is a "blocking" object or a "non-blocking" object, and the vehicle's motion plan is then created based on this classification.

Why it matters: Since 2023, advancements in real-time machine learning for perception and prediction, coupled with more powerful edge computing, could make the "blocking/non-blocking" object classification more robust and deployable in autonomous vehicles. This could enhance the safety and efficiency of motion planning.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedMachine-learned model, complex software, sensor integration

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