Multiple inertial measurement unit sensor fusion using machine learning
US12189388B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 5, 2022 |
| Grant date | Jan 7, 2025 |
| Priority date | — |
| Expiry date | Feb 25, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/0464
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods for multiple inertial measurement unit sensor fusion using machine learning are provided herein. In certain embodiments, a system includes inertial sensors that produce inertial measurements, a memory unit that stores a fusion model produced by at least one machine learning algorithm, and a processor that receives inertial measurements, where the processor applies the fusion model to the inertial measurements. The fusion model directs the processor to extract features from the inertial measurements, and to select inertial measurements based on a sensor in the plurality of inertial sensors that produced the inertial measurements. Also, the fusion model directs the processor to apply weights to the selected inertial measurements based on the extracted features, to apply compensation coefficients to the selected inertial measurements, and to fuse the selected inertial measurements into an inertial navigation solution.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.