18417105. USING LARGE LANGUAGE MODELS TO UPDATE DATA IN MAPPING SYSTEMS AND APPLICATIONS (NVIDIA Corporation)
Contents
USING LARGE LANGUAGE MODELS TO UPDATE DATA IN MAPPING SYSTEMS AND APPLICATIONS
Organization Name
Inventor(s)
Denis Laprise of Palo Alto CA (US)
Mark Wheeler of Saratoga CA (US)
USING LARGE LANGUAGE MODELS TO UPDATE DATA IN MAPPING SYSTEMS AND APPLICATIONS
This abstract first appeared for US patent application 18417105 titled 'USING LARGE LANGUAGE MODELS TO UPDATE DATA IN MAPPING SYSTEMS AND APPLICATIONS
Original Abstract Submitted
Approaches presented herein provide for the identification of differences between local map data, for a region of a physical environment, and observation or perception data generated by one or more machines or other such sources. In at least one embodiment, sensors on an ego machine can capture sensor data for a region in which the ego machine is located, and a language model on the ego machine can compare this sensor data, or perception data generated using the sensor data, against the local map data. The language model can generate a tokenized description of identified differences, in a domain-specific language. The tokenized description can be transmitted to a map management service that can compare these differences against differences identified by other machines, for example, to determine whether to update and redistribute at least a portion of the map data.
