Training a machine-learned model to detect low variance regions
US11605236B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 6, 2019 |
| Grant date | Mar 14, 2023 |
| Priority date | — |
| Expiry date | Feb 18, 2040 |
Classification
- Technology area (CPC B)Performing Operations; Transporting
- CPC primaryB60W2554/4029
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Low variance detection training is described herein. In an example, annotated data can be determined based on sensor data received from a sensor associated with a vehicle. The annotated data can comprise an annotated low variance region and/or an annotated high variance region. The sensor data can be input into a model, and the model can determine an output comprising a high variance output and a low variance output. In an example, a difference between the annotated data and the output can be determined and one or more parameters associated with the model can be altered based at least in part on the difference. The model can be transmitted to a vehicle configured to be controlled by another output of the model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.