Self-learning three-dimensional boundaries from images
US11113841B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 11, 2019 |
| Grant date | Sep 7, 2021 |
| Priority date | — |
| Expiry date | Mar 9, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/08
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
Techniques are disclosed. The techniques include receiving, from a camera, an image showing a portion of a physical topography and target object. The techniques include determining, based on the image, a location of the target object shown in the image and a physical characteristic of the target object shown in the image, the physical characteristic being common with at least another target object. The techniques then include determining a three dimensional (3D) position of the target object in a 3D representation of the portion of the physical topography, the 3D position determined based on (i) the location of the target object, and (ii) the physical characteristic. Based on detecting a cluster of 3D positions of target objects (over several images), the techniques involve generating a 3D boundary of a zone of a portion of the physical topography.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.