Vehicle neural network
US11270164B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 24, 2020 |
| Grant date | Mar 8, 2022 |
| Priority date | — |
| Expiry date | Sep 24, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/56
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system, including a processor and a memory, the memory including instructions to be executed by the processor to train a deep neural network based on a plurality of real-world images, determine the accuracy of the deep neural network is below a threshold based on identifying one or more physical features by the deep neural network, including one or more object types, in the plurality of real-world images and generate a plurality of synthetic images based on the accuracy of the deep neural network is below a threshold based on identifying the one or more physical features using a photo-realistic image rendering software program and a generative adversarial network. The instructions can include further instructions to retrain the deep neural network based on the plurality of real-world images and the plurality of synthetic images and output the retrained deep neural network.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.