Distance estimation using machine learning
US10867404B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 29, 2018 |
| Grant date | Dec 15, 2020 |
| Priority date | — |
| Expiry date | Mar 2, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30261
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method receives a captured image depicting image content including an object, the captured image being captured by an image sensor located at a sensor position; generates, using a trained first machine learning logic, a lighting-corrected image from an imitative simulation image depicting at least a portion of the image content of the captured image in a simulation style associated with an environment simulator; generates, using a trained second machine learning logic, a depth estimation image from the lighting-corrected image, the depth estimation image indicating a relative distance between the object depicted in the captured image and the sensor position of the image sensor; and determines an object position of the object depicted in the captured image based on the depth estimation image.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.