Crowd sourced mapping with robust structural features
US11268818B2 · kind B2 · utility
0Cited by
119References
24Claims
0Family size
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Key dates
| Filing date | Apr 17, 2019 |
| Grant date | Mar 8, 2022 |
| Priority date | — |
| Expiry date | Jun 26, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG01S19/13
- 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.