Federated learning for connected camera
US11853741B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 10, 2022 |
| Grant date | Dec 26, 2023 |
| Priority date | — |
| Expiry date | Jun 26, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/08
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Vehicles and related systems and methods are provided for classifying detected objects in a location-dependent manner using localized models in a federated learning environment. A method involves obtaining sensor data for a detected object external to the vehicle from a sensor of a vehicle, obtaining location data associated with the detected object, obtaining a local classification model associated with an object type, assigning the object type to the detected object based on an output by the local classification model as a function of the sensor data and the location data using the local classification model, and initiating an action at the vehicle responsive to assigning the object type to the detected object.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.