Multi-object positioning using mixture density networks
US11696093B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 22, 2021 |
| Grant date | Jul 4, 2023 |
| Priority date | — |
| Expiry date | Sep 12, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N7/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Certain aspects of the present disclosure provide techniques for object positioning using mixture density networks, comprising: receiving radio frequency (RF) signal data collected in a physical space; generating a feature vector encoding the RF signal data by processing the RF signal data using a first neural network; processing the feature vector using a first mixture model to generate a first encoding tensor indicating a set of moving objects in the physical space, a first location tensor indicating a location of each of the moving objects in the physical space, and a first uncertainty tensor indicating uncertainty of the locations of each of the moving objects in the physical space; and outputting at least one location from the first location tensor.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.