User-Assisted Location Device with Cross-Validation Model
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Solution Overview
Problem
Existing location devices are often expensive, unreliable, and inaccurate due to issues with inertial measurement unit (IMU) errors and unavailability of GPS and wireless signals in indoor or underground environments.
Innovation Solution
A user-assisted location device system that combines IMU, GPS, and wireless signal techniques, using a cross-validation model with user inputs to correct motion models and estimate location, thereby providing accurate and cost-effective location determination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If GPS and wireless signal techniques are used for location determination, then location accuracy is improved, but reliability deteriorates in indoor or underground environments where signals are unavailable
Solution Approach 1:
The patent combines multiple location determination techniques (GPS, wireless signals, and IMU) into a single integrated system. The device switches between or fuses these different methods depending on environmental conditions, ensuring continuous and reliable location tracking whether the user is outdoors with signal access or indoors where signals are blocked.
2Reliability
If IMU measurements are used to estimate movement, then location tracking is maintained without external signals, but measurement precision deteriorates due to accumulated error and drift
Solution Approach 1:
The system uses feedback mechanisms where IMU-based location estimates are continuously refined by comparing with and correcting against GPS and wireless signal data when available. This feedback loop prevents error accumulation by periodically resetting and adjusting the IMU drift, maintaining both continuity and precision of location tracking.
3Measurement precision
If expensive equipment and technology are used to resolve inaccuracy and reliability problems, then measurement precision and reliability are improved, but device complexity and cost increase
Solution Approach 1:
The patent changes the operational parameters of standard, commercially available IMU and location components by implementing sophisticated software algorithms for sensor fusion, drift correction, and environmental adaptation. This approach achieves high precision and reliability not through expensive hardware upgrades but by optimizing how existing components are used and combined.
Data Source
AI summary
Methods, systems, and devices are described herein. One method can include determining a cross validation model using a user input, estimating a movement of a device from a first location to a second location using the cross validation model and the user input, and determining the second location of the device using the estimated movement of the device.