US Patent Application 18202680. TELEMETRY REPORTING IN VEHICLE SUPER RESOLUTION SYSTEMS simplified abstract
Contents
TELEMETRY REPORTING IN VEHICLE SUPER RESOLUTION SYSTEMS
Organization Name
Inventor(s)
David A. Maluf of Mountain View CA (US)
Shesha Bhushan Sreenivasamurthy of Fremont CA (US)
TELEMETRY REPORTING IN VEHICLE SUPER RESOLUTION SYSTEMS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18202680 titled 'TELEMETRY REPORTING IN VEHICLE SUPER RESOLUTION SYSTEMS
Simplified Explanation
- The patent application describes a system where a vehicle's processor detects a difference between predicted physical characteristics of the vehicle and actual physical characteristics indicated by telemetry data. - The processor creates an update packet based on the relevancy of the physical characteristic to a machine learning model. - The update packet is synchronized with a second machine learning model executed by a receiver using a synchronization strategy. - The update packet is sent to the receiver via a network to update the second machine learning model.
Original Abstract Submitted
In one embodiment, a processor of a vehicle detects a difference between a physical characteristic of the vehicle predicted by a first machine learning-based model and a physical characteristic of the vehicle indicated by telemetry data generated by a sub-system of the vehicle. The processor forms a packet payload of an update packet indicative of the detected difference, based in part on a relevancy of the physical characteristic to the first machine learning-based model. The processor applies a synchronization strategy to the update packet, to synchronize the update packet with a second machine learning-based model executed by a receiver. The processor sends the update packet to the receiver via a network, to update the second machine learning-based model.
