Self-supervised attention learning for depth and motion estimation
US11960294B2 · kind B2 · utility
Assignees
Inventors
Key dates
| Filing date | Jul 13, 2020 |
| Grant date | Apr 16, 2024 |
| Priority date | — |
| Expiry date | Jan 2, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30252
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system includes: a depth module including an encoder and a decoder and configured to: receive a first image from a first time from a camera; and based on the first image, generate a depth map including depths between the camera and objects in the first image; a pose module configured to: generate a first pose of the camera based on the first image; generate a second pose of the camera for a second time based on a second image; and generate a third pose of the camera for a third time based on a third image; and a motion module configured to: determine a first motion of the camera between the second and first times based on the first and second poses; and determine a second motion of the camera between the second and third times based on the second and third poses.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.