Invention Grant
- Patent Title: Combined indoor and outdoor tracking using machine learning
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Application No.: US16991341Application Date: 2020-08-12
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Publication No.: US11582580B2Publication Date: 2023-02-14
- Inventor: Nicolas Butterwegge , Dmitrii Maltsev , Felix Mueller , Gizem Okut , Fritz Schmid , Winfried Schroeder , Stefanie Schwartz
- Applicant: Siemens Healthcare GmbH
- Applicant Address: DE Erlangen
- Assignee: Siemens Healthcare GmbH
- Current Assignee: Siemens Healthcare GmbH
- Current Assignee Address: DE Erlangen
- Agency: Harness, Dickey & Pierce, P.L.C.
- Priority: EP19193767 20190827
- Main IPC: H04W4/029
- IPC: H04W4/029 ; H04W64/00 ; G01S5/02 ; G01S13/86 ; G06N3/02

Abstract:
A computer-implemented method for combined indoor and outdoor tracking using a tracking device is disclosed. In at least one embodiment of the method, a fingerprint of radio signals is generated by the device at a location to be determined. The location of the device is determined by applying trained functions to the fingerprint wherein the trained functions have been end-to-end trained using a plurality of fingerprints generated at known locations. Environmental sensor data may be used to predict a lifetime of a component tracked by the tracking device.
Public/Granted literature
- US20210067914A1 COMBINED INDOOR AND OUTDOOR TRACKING USING MACHINE LEARNING Public/Granted day:2021-03-04
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