System and method for 3D object perception trained from pure synthetic stereo data
US12288340B2 · kind B2 · utility
Assignees
Inventors
Key dates
| Filing date | Jun 13, 2022 |
| Grant date | Apr 29, 2025 |
| Priority date | — |
| Expiry date | Jul 30, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2210/12
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for 3D object perception is described. The method includes extracting features from each image of a synthetic stereo pair of images. The method also includes generating a low-resolution disparity image based on the features extracted from each image of the synthetic stereo pair images. The method further includes predicting, by a trained neural network, a feature map based on the low-resolution disparity image and one of the synthetic stereo pair of images. The method also includes generating, by a perception prediction head, a perception prediction of a detected 3D object based on the feature map predicted by the trained neural network.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.