Machine learning models operating at different frequencies for autonomous vehicles
US11816585B2 · kind B2 · utility
2Cited by
245References
18Claims
0Family size
Assignee
Inventor
Key dates
| Filing date | Dec 3, 2019 |
| Grant date | Nov 14, 2023 |
| Priority date | — |
| Expiry date | Dec 11, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods include machine learning models operating at different frequencies. An example method includes obtaining images at a threshold frequency from one or more image sensors positioned about a vehicle. Location information associated with objects classified in the images is determined based on the images. The images are analyzed via a first machine learning model at the threshold frequency. For a subset of the images, the first machine learning model uses output information from a second machine learning model, the second machine learning model being performed at less than the threshold frequency.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.