Autonomous vehicle system for intelligent on-board selection of data for building a remote machine learning model
US11657591B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 15, 2021 |
| Grant date | May 23, 2023 |
| Priority date | — |
| Expiry date | Nov 7, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG05D1/0221
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods for on-board selection of data logs for training a machine learning model are provided. The system includes an autonomous vehicle having a plurality of sensors and a processor. The processor receives a plurality of unlabeled images from the plurality of sensors, a machine learning model, and a loss function corresponding to the machine learning model. For each of the plurality of images, the processor then determines one or more predictions using the machine learning model, compute an importance function based on the loss function and the one or more predictions, and transmit that image to a remote server for updating the machine learning model when a value of the importance function is greater than a threshold.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.