Camera-based positioning system using learning
US10996060B2 · kind B2 · utility
Assignees
Inventors
Key dates
| Filing date | Aug 28, 2017 |
| Grant date | May 4, 2021 |
| Priority date | — |
| Expiry date | Feb 24, 2038 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02D30/70
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A device, system, and methods are described to perform machine-learning camera-based indoor mobile positioning. The indoor mobile positioning may utilize inexact computing, wherein a small decrease in accuracy is used to obtain significant computational efficiency. Hence, the positioning may be performed using a smaller memory overhead at a faster rate and with lower energy cost than previous implementations. The positioning may not involve any communication (or data transfer) with any other device or the cloud, providing privacy and security to the device. A hashing-based image matching algorithm may be used which is cheaper, both in energy and computation cost, over existing state-of-the-art matching techniques. This significant reduction allows end-to-end computation to be performed locally on the mobile device. The ability to run the complete algorithm on the mobile device may eliminate the need for the cloud, resulting in a privacy-preserving localization algorithm by design since network communication with other devices may not be required.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.