Data fusion architecture
US9644959B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Jun 19, 2013 |
| Grant date | May 9, 2017 |
| Priority date | — |
| Expiry date | Feb 8, 2036 |
Classification
- Technology area (CPC B)Performing Operations; Transporting
- CPC primaryB63H25/04
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
A data fusion architecture with a plurality of sensors, optionally position measuring equipment (PMEs), is described. Each sensor supplies measurement data x1, x2 . . . xM and is associated with accuracy data H1, H2 . . . HM indicative of the accuracy of the supplied measurement data. Sub-processing units derives first estimates sf1, sf2 . . . sfM and second estimates Hn1, Hn2 . . . HnM of the variability of the measurement data supplied by the respective sensor. The first estimates are derived by processing the measurement data x1, x2 . . . xM and the second estimates are derived by processing the accuracy data H1, H2 . . . HM. The first and second estimates are combined in a multiplier to derive overall estimates σ1, σ2 . . . σM of the variability of the measurement data supplied by the respective sensor. Data fusion means such as a Kalman filter combines the measurement data supplied by each sensor and the overall estimates σ1, σ2 . . . σM for each sensor.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.