Method for indoor localization using deep learning
US11961256B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 26, 2021 |
| Grant date | Apr 16, 2024 |
| Priority date | — |
| Expiry date | Dec 3, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30244
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
The described technology is a technique related to an indoor localization method using deep learning. The indoor localization method comprises: opening a 3D tour comprising a plurality of panoramic images; receiving a first perspective image captured by a camera provided in the user device; calculating global features for the first perspective image and each of the plurality of panoramic images included in the 3D tour; selecting a most similar panoramic image to the first perspective image by using the calculated global features; computing an indoor location corresponding to a location of the camera on the 3D tour by using feature points included in the selected panoramic image and the first perspective image; and providing the computed indoor location to the user device.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.