Autonomous vehicle navigation using with coalescing constraints for static map data

This invention helps self-driving vehicles pinpoint their exact location by comparing what they sense in real-time with a pre-existing map. It achieves this by efficiently processing large amounts of map data using a parallel computer, specifically by organizing the static map data in a special 'three-dimensional rounding buffer' within the computer's memory to quickly find the best match for the vehicle's position and orientation.

Why it matters: Filed when specialized parallel processing for autonomous vehicles was still maturing. Advances in GPU hardware and software frameworks, particularly for optimizing memory access patterns and handling large 3D datasets, could make implementing this specific approach more practical and performant today.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedParallel processing software, 3D mapping, sensor integration

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