Parametric Site Model for Indoor Positioning Accuracy
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Solution Overview
Problem
Creating accurate indoor maps, such as those for parking houses, is challenging due to the limitations of satellite signal-based positioning technologies, which are not effective indoors, and existing methods like dead-reckoning suffer from accuracy decay over distance and maneuvers.
Innovation Solution
A method using a parametric site model configured with parameter values selected from sensor data, such as from motion-related sensors like odometers, gyroscopes, and barometers, to generate accurate map data without relying on satellite signals, employing Bayesian smoothing for optimization and updating the model with new data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If satellite signal based positioning is used, then positioning accuracy outdoors is improved, but positioning performance indoors deteriorates due to signal penetration limitations
Solution Approach 1:
The patent introduces map data as an intermediary element that bridges satellite positioning and dead-reckoning. The system uses satellite signals to obtain initial position, then matches this with map data to establish a reliable positioning foundation before transitioning to dead-reckoning when satellite signals are unavailable indoors.
Solution Approach 2:
The patent replaces reliance on satellite signals (electromagnetic system) with dead-reckoning based on inertial sensors (mechanical system) for indoor positioning. This substitution allows the system to maintain positioning capability in environments where satellite signals cannot penetrate.
2Reliability
If dead-reckoning is used for indoor positioning, then positioning capability is maintained without satellite signals, but accuracy deteriorates over distance and maneuvers
Solution Approach 1:
The patent implements feedback by continuously comparing dead-reckoning calculated positions with map data. When the vehicle's calculated position deviates from expected positions based on map data, the system uses this feedback to correct accumulated errors and maintain positioning accuracy over longer distances and multiple maneuvers.
Solution Approach 2:
The patent performs preliminary action by obtaining satellite-based position data before entering indoor environments and storing it for later use. This preliminary positioning information serves as a reference point that constrains and improves subsequent dead-reckoning accuracy throughout the indoor navigation process.
3Ease of manufacture
If crowd-sourcing with manual input is used for map creation, then map data can be collected without expensive equipment, but data collection efficiency and completeness deteriorate
Solution Approach 1:
The patent enables self-service by allowing vehicles to automatically collect positioning data during normal operation without requiring manual intervention. The system automatically records satellite positions, performs dead-reckoning calculations, and contributes this data to map creation, eliminating the need for specialized survey equipment and manual data entry while maintaining high efficiency and completeness.
Data Source
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AI summary
An apparatus receives at least one set of sensor data from at least one mobile device. The sensor data was measured at a particular site and comprises at least motion related sensor data. The apparatus selects a set of parameter values for a parametric site model from a plurality of possible sets of parameter values. The set of parameter values is selected which has the highest likelihood that the parametric site model configured with the set of parameter values correctly represents the particular site in view of the received at least one set of sensor data.