Mobile Device Parking Location Detection via Motion Triggered GPS
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Solution Overview
Problem
Mobile computing devices face challenges in accurately determining the location of a parked vehicle when GPS signals are interfered with, leading to inaccurate location marking due to power consumption issues and signal interference.
Innovation Solution
A method where a mobile computing device uses motion data to determine transitions in user activity, activating the positioning system only when necessary to store and analyze data, allowing for more accurate location determination of the vehicle's parking spot without continuous GPS usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the GPS element is activated continuously to determine location, then location accuracy is improved, but power consumption increases
Solution Approach 1:
The GPS element is activated periodically rather than continuously. The system uses motion sensor data to detect transitions between physical activities (e.g., from vehicle riding to walking), and only activates GPS when such transitions are detected, thereby reducing power consumption while maintaining location accuracy when needed.
2Use of energy by moving object
If the GPS element is activated only when needed, then power consumption is reduced, but location accuracy deteriorates due to signal interference
Solution Approach 1:
Motion sensor data serves as an intermediary to trigger GPS activation. The system first analyzes motion patterns to detect activity transitions, and only then activates the GPS element to determine location. This intermediary mechanism ensures GPS is activated at the appropriate moment even in challenging environments.
3Ease of operation
If GPS is used in areas with signal interference, then location can be determined, but measurement precision deteriorates
Solution Approach 1:
The system performs preliminary analysis of motion sensor data to detect activity transitions before activating GPS. By identifying when the user exits a vehicle based on motion patterns, the system prepares to capture the location at the precise moment of transition, ensuring accurate location determination even in areas with potential signal interference.
Data Source
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AI summary
In one example, a method includes determining, based on first motion data, that a change in an angle of a mobile computing device relative to gravity satisfies a threshold amount of change, and, responsive to determining that the change in the angle satisfies the threshold amount of change, initiating, at a first position of the mobile computing device, storage of second motion data, wherein the first position is a reference position. The method may also include determining, based on an external signal, a second position of the mobile computing device, wherein the second position is a current position of the mobile computing device that is different from the reference position, and, responsive to determining the second position of the mobile computing device, determining, based on the second motion data and the current position, the reference position of the mobile computing device.