Invention Publication
- Patent Title: MACHINE LEARNING ASSISTED SATELLITE BASED POSITIONING
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Application No.: US18107496Application Date: 2023-02-08
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Publication No.: US20230184961A1Publication Date: 2023-06-15
- Inventor: Benjamin A. WERNER , Brent M. LEDVINA , Dennis P. HILGENBERG , Aarti SATHYANARAYANA
- Applicant: Apple Inc.
- Applicant Address: US CA Cupertino
- Assignee: Apple Inc.
- Current Assignee: Apple Inc.
- Current Assignee Address: US CA Cupertino
- The original application number of the division: US16536234 2019.08.08
- Main IPC: G01S19/42
- IPC: G01S19/42 ; G06N20/00 ; G01S19/39

Abstract:
A device implementing a system for estimating device location includes at least one processor configured to receive an estimated position based on a positioning system comprising a Global Navigation Satellite System (GNSS) satellite, and receive a set of parameters associated with the estimated position. The processor is further configured to apply the set of parameters and the estimated position to a machine learning model, the machine learning model having been trained based at least on a position of a receiving device relative to the GNSS satellite. The processor is further configured to provide the estimated position and an output of the machine learning model to a Kalman filter, and provide an estimated device location based on an output of the Kalman filter.
Public/Granted literature
- US12000938B2 Machine learning assisted satellite based positioning Public/Granted day:2024-06-04
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