Distributed knowledge base method for vehicular localization and work-site management

This invention describes a method for a vehicle to control itself by reacting to changing conditions in real-time. It uses a combination of pre-programmed information about its operating environment and new information it learns as it operates. The vehicle determines its location by analyzing sensor data to identify objects around it.

Why it matters: Filed before the widespread adoption of deep learning and advanced sensor fusion, the "learned knowledge base" and "object identification" aspects are now far more robust and performant due to significant advancements in AI and cheaper, more powerful sensors.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware logic, sensor integration, real-time processing

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