Indoor localization using real-time context fusion of visual information from static and dynamic cameras
US10977525B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 29, 2019 |
| Grant date | Apr 13, 2021 |
| Priority date | — |
| Expiry date | Jun 14, 2039 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04W4/38
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
A computer-implemented method of localization for an indoor environment is provided, including receiving, in real-time, a dynamic query from a first source, and static inputs from a second source; extracting features of the static inputs by applying a metric learning convolutional neural network (CNN), and aggregating the extracted features of the static inputs to generate a feature transformation; and iteratively extracting features of the dynamic query on a deep CNN as an embedding network and fusing the feature transformation into the deep CNN, and applying a triplet loss function to optimize the embedding network and provide a localization result.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.