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Combined indoor and outdoor tracking using machine learning

A computer and environmental sensor technology, applied in the field of device positioning, can solve problems such as inability to provide solutions, and achieve the effect of ensuring traceability, solving liability problems, and ensuring documentation.

Pending Publication Date: 2021-03-05
SIEMENS HEALTHCARE GMBH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, a reliable solution for building interiors such as interior tracking cannot be provided

Method used

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  • Combined indoor and outdoor tracking using machine learning
  • Combined indoor and outdoor tracking using machine learning
  • Combined indoor and outdoor tracking using machine learning

Examples

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Embodiment Construction

[0070] The above and other elements, features, steps and concepts of the present disclosure will become more apparent from the following detailed description according to exemplary embodiments of the present invention, which will be explained with reference to the accompanying drawings.

[0071] Some examples of the present disclosure generally provide for use with multiple circuits, data storage devices, connections or electrical devices such as, for example, processors. All references to these entities or other electrical devices or the functionality provided by each are not intended to be limited to covering only what is shown and described herein. While specific labels may be assigned to the various circuits or other electrical devices disclosed, such labels are not intended to limit the scope of operation of the circuits and other electrical devices. Such circuits and other electrical devices may be combined and / or separated from each other in any manner based on the part...

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Abstract

The invention discloses combined indoor and outdoor tracking using machine learning. The invention relates to a computer-implemented method for combined indoor and outdoor tracking using a tracking device, wherein 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 trackedby the tracking device.

Description

technical field [0001] Various examples of the invention relate generally to the location of devices, and more particularly to the tracking of shipments in supply chain logistics. Various examples relate in particular to indoor and outdoor tracking using a tracking device utilizing a combination of radio signals and machine learning (ML) algorithms. Background technique [0002] In supply chain logistics, a typical shipping route may include a number of different shipping service providers through which only relatively little information about the location and condition of the shipment is available. [0003] Therefore, several problems may occur in conventional service / spare parts logistics. Transparency in shipping routes for repair / spare parts logistics can be unreliable or completely absent. For example, it may not be possible to see where a shipment is located or the condition of the goods within it. Thus, the status of the package may be unknown, wherein the conditio...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01C21/00G01C21/20G01S19/39G01S19/42G01D21/02G06K9/62G06N20/00H04W4/029
CPCG01C21/005G01C21/20G01S19/393G01S19/42G01D21/02G06N20/00H04W4/029G06F18/214G06Q10/0833G01S5/02521G01S19/48G01S5/0252G01S13/86G06N3/02H04W64/00
Inventor 尼古拉斯·布特韦格德米特里·马尔采夫费利克斯·穆勒吉策姆·奥库特弗里茨·施密德温弗里德·施罗德斯特凡妮·施瓦茨
Owner SIEMENS HEALTHCARE GMBH
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