Visual inertial odometry with machine learning depth
US12366590B2 · kind B2 · utility
0Cited by
8References
20Claims
0Family size
Assignee
Inventors
Key dates
| Filing date | Jan 21, 2022 |
| Grant date | Jul 22, 2025 |
| Priority date | — |
| Expiry date | Aug 24, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30244
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Disclosed is a method including receiving a depth map estimated using data based on image and data received from a movement sensor as input, generating an alignment parameter based on the depth map, adding the alignment parameter to a pre-calibration state to define a user operational calibration state, generating scale parameters and shift parameters based on features associated with the data received from the image and movement sensor, and calibrating the image and movement sensor based on the user operational calibration state, the scale parameters and the shift parameters.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.