Data driven map updating system for autonomous driving vehicles

This invention describes a way to keep maps for self-driving cars accurate and up-to-date. It works by collecting driving information, like steering commands and vehicle reactions, from many cars as they drive on a road. This real-world driving data is then analyzed to figure out the actual safe driving path within a lane, and if this differs from the existing map, the map is updated.

Why it matters: Filed before widespread fleet data collection and advanced AI for behavioral analysis were common. Today, more vehicles generate the necessary data, and AI can better interpret complex driving patterns to refine maps.

Status: Not in forceListed as no longer active.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, data collection, analysis algorithms, map integration.

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