Crowd sourced mapping with robust structural features
US9983012B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 14, 2016 |
| Grant date | May 29, 2018 |
| Priority date | — |
| Expiry date | Jul 16, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG01C21/3856
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
A location and mapping service is described that creates a global database of indoor navigation maps through crowd-sourcing and data fusion technologies. The navigation maps consist of a database of geo-referenced, uniquely described features in the multi-dimensional sensor space (e.g., including structural, RF, magnetic, image, acoustic, or other data) that are collected automatically as a tracked mobile device is moved through a building (e.g. a person with a mobile phone or a robot). The feature information can be used to create building models as one or more tracked devices traverse a building.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.