Deployment of trained neural network in magnetic fingerprint based indoor navigation
US11512961B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 26, 2019 |
| Grant date | Nov 29, 2022 |
| Priority date | — |
| Expiry date | Sep 22, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/045
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method and system of maintaining a trained neural network for mobile device indoor navigation and positioning. The method comprises, based on magnetic parameters acquired from a plurality of mobile devices acquired at a set of positions within an indoor area, accumulating the magnetic parameters in accordance with a trained neural network-based magnetic fingerprint dataset in a fingerprint database of the indoor area; and when a density of points represented by the set of positions having accumulated magnetic parameters exceeds a deployment threshold density, deploying the magnetic fingerprint dataset within a fingerprint map for mobile device navigation of the indoor area, the fingerprint map encompassing the set of positions.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.