Method and system for updating localization maps of autonomous driving vehicles

This describes a system where a self-driving car continuously updates its own navigation maps. The car collects its current location data and compares it against its existing map to find potential matching positions. It then calculates a confidence score for these potential matches, and if the score is high enough, it uses the best match to update the map, making it more accurate for future navigation.

Why it matters: Filed when real-time processing of diverse sensor data for map updates was computationally intensive. Today, advancements in vehicle computing and sensor fusion make self-updating localization maps more practical and accurate.

Status: Not in forceListed as no longer active.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, real-time data processing

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