Inertial Sensor Position Estimation Without Facility Installation
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Solution Overview
Problem
Existing position estimation techniques, such as GPS and UWB, require significant time and effort for facility installation and do not provide high accuracy, especially in indoor environments, and often involve privacy concerns due to the need to upload and share user position information.
Innovation Solution
An information processing device and method that uses inertial sensors and distance measuring sensors to estimate a relative position without the need for extensive facility installation, by acquiring data from inertial sensors and distance measuring sensors and processing it to determine a relative position, thereby improving accuracy while reducing installation time and effort, and enabling privacy management by localizing the position estimation process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If GPS or UWB receivers are installed in multiple indoor places for position estimation, then position estimation coverage is improved, but facility installation time and effort increase significantly
Solution Approach 1:
The terminal device performs self-positioning by utilizing its own inertial sensor data and distance measuring sensor data. The device calculates its relative position to other terminals autonomously without requiring external infrastructure, thereby eliminating the need for time-consuming facility installation while maintaining position estimation coverage
Solution Approach 2:
The patent introduces inertial sensors and distance measuring sensors as intermediary components that enable position estimation without requiring extensive UWB receiver infrastructure. These sensors act as mediators that allow terminals to determine relative positions through sensor data fusion rather than through direct UWB signal triangulation from multiple fixed receivers
2Measurement precision
If UWB receivers are installed in multiple indoor places for position estimation, then position estimation capability is improved, but device complexity and installation cost increase
Solution Approach 1:
Each terminal device independently performs position estimation using its own sensors, eliminating the need for complex external UWB receiver infrastructure. The device serves itself by fusing inertial sensor data with distance measuring sensor data to calculate relative position, thereby reducing both installation complexity and device complexity
Solution Approach 2:
The patent replaces the mechanical infrastructure of UWB receivers with sensor-based measurement systems. Instead of relying on electromagnetic signal triangulation from fixed receivers, the system uses inertial sensors and distance measuring sensors to achieve position estimation, thereby reducing facility installation complexity while maintaining measurement precision
3Measurement precision
If position information is uploaded and shared for position estimation, then position estimation accuracy is improved, but privacy concerns increase
Solution Approach 1:
The patent extracts the position estimation function from centralized servers and relocates it to individual terminal devices. By performing calculations locally using inertial sensor data and distance measuring sensor data, the system eliminates the need to upload and share position information, thereby maintaining position estimation accuracy while removing privacy concerns associated with data sharing
Solution Approach 2:
Each terminal device independently calculates its own position relative to other terminals using its local sensors, without requiring centralized data collection or sharing. This self-service approach maintains measurement precision through local computation while eliminating privacy risks associated with uploading position information to servers
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The solution enhances the accuracy of position estimation while minimizing the time and effort required for facility setup, and ensures privacy by processing position information locally, reducing the need for extensive infrastructure and minimizing data sharing.
Implementation Method 1
acquire inertial sensor data detected by an inertial sensor
Implementation Method 2
acquire distance measuring sensor data detected by a distance measuring sensor
Data Source
AI summary
Provided is an information processing device including a sensor control unit that acquires inertial sensor data detected by an inertial sensor and distance measuring sensor data detected by a distance measuring sensor. The information processing device further includes a data processing unit that estimates a relative position on a basis of the inertial sensor data and the distance measuring sensor data.