Indoor Positioning Accuracy via User Input Correlation
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Solution Overview
Problem
Current positioning technologies face challenges in achieving accurate location determination indoors, particularly in the absence of GPS signals, where sensor-based solutions diverge and lack an absolute location reference, necessitating additional sources of location information for crowd-sourcing-based positioning systems.
Innovation Solution
A method that determines a coarse position estimate using GNSS and non-GNSS-based measurements, followed by analyzing user input information to extract location indication data, comparing it with pre-defined location information, and refining the position estimate to enhance accuracy, particularly by matching user input patterns with nearby Points-of-Interest or venues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If sensor-based solutions are used for indoor positioning, then positioning can function without GPS signals, but the solutions quickly diverge and lack absolute location reference
Solution Approach 1:
The patent introduces user input information as an intermediary element that bridges the gap between coarse position estimates and accurate location determination. By analyzing user inputs (such as check-ins, location shares, or explicit location data) and comparing them with nearby Points-of-Interest, the system obtains absolute location references that anchor the sensor-based relative positioning, thereby resolving the divergence issue without sacrificing adaptability to indoor environments.
2Measurement precision
If crowd-sourcing-based positioning systems are used, then additional sources of location information can be obtained, but the system complexity increases
Solution Approach 1:
The patent makes the user input data serve multiple functions: it provides absolute location references for accuracy enhancement, validates coarse position estimates, and enriches the positioning system with diverse data sources. By designing a unified processing framework that handles various input types (check-ins, location shares, explicit data) through a common analysis and comparison mechanism with Points-of-Interest, the system achieves high positioning accuracy without proportionally increasing complexity.
Data Source
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AI summary
Inter-alia, a method is disclosed comprising: determining or triggering a determination of a coarse position estimate based on GNSS-based and/or non-GNSS-based positioning; obtaining user input information indicative of one or more inputs a user has entered into a mobile device; analyzing the user input information for forming one or more pieces of location indication information; comparing the coarse position estimate with the one or more pieces of location indication information; and in case a respective location indication information matches or is in the vicinity of the coarse position estimate: determining a position estimate to represent or comprise the position of the respective location indication information. It is further disclosed an according apparatus, computer program and system.