Extracting feature geometries for localization of a device
US9792521B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 26, 2014 |
| Grant date | Oct 17, 2017 |
| Priority date | — |
| Expiry date | Aug 12, 2035 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30244
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems, apparatuses, and methods are provided for developing a fingerprint database and extracting feature geometries for determining the geographic location of an end-user device. A device collects, or a processor receives, a depth map of a location in a path network. A physical structure is identified within the depth map. The depth map is divided, at the physical structure, into a horizontal plane at an elevation from the road level. A two-dimensional feature geometry is extracted from the horizontal plane of the depth map using a linear regression algorithm, a curvilinear regression algorithm, or a machine learning algorithm.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.