Mobile Sensor Data Fusion for Accurate Vehicle Acceleration
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Solution Overview
Problem
Current systems for tracking vehicle movement on mobile devices lack accuracy in combining sensor data from location and movement determination sensors, particularly during turns, leading to inaccurate acceleration measurements.
Innovation Solution
A system and method that utilize a mobile device equipped with both location determination sensors, such as GPS, and movement determination sensors, like accelerometers, to identify turns and separate movement measurements, allowing for the removal of turn-related data to improve the accuracy of acceleration measurements by using a processor to combine and process data from these sensors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensor data from location and movement determination sensors is combined to measure vehicle movement, then measurement coverage is improved, but measurement precision deteriorates due to inaccuracies during turns
Solution Approach 1:
The patent segments the vehicle movement data into different categories: turn-related measurements and non-turn measurements. By dividing the continuous stream of sensor data into discrete segments based on turn detection, the system can process each segment differently, removing turn-related data that contaminates acceleration measurements while preserving valid movement data for accurate analysis.
Solution Approach 2:
The patent extracts and removes turn-related movement measurements from the combined sensor data. By identifying turns through location and movement sensor analysis, the system selectively extracts only the portions of data that correspond to turning maneuvers and excludes them from the acceleration calculation, thereby preventing turn-induced measurement errors from compromising overall measurement precision.
2Productivity
If turn-related movement measurements are included in acceleration calculation, then data utilization is improved, but measurement precision deteriorates due to turn-induced errors
Solution Approach 1:
The patent extracts turn-related measurements from the complete dataset and separates them from the data used for acceleration calculation. This extraction allows the system to maintain high data utilization by still analyzing turn behavior separately while ensuring that only non-turn movement data contributes to acceleration measurements, thus preserving measurement precision.
Solution Approach 2:
The patent segments the movement measurements into turn-related and non-turn-related portions. By creating distinct segments, the system can selectively use non-turn segments for acceleration calculations while utilizing turn segments for separate turn analysis, thereby maintaining both data utilization efficiency and measurement precision through appropriate segment assignment.
3Device complexity
If all movement measurements are used to determine acceleration, then computational simplicity is improved, but measurement precision deteriorates due to turn contamination
Solution Approach 1:
The patent performs preliminary action by detecting turns and identifying turn-related measurements before the final acceleration calculation. By pre-identifying which measurements correspond to turns using location and movement sensor data, the system can prepare a filtered dataset in advance, separating turn-related from non-turn-related measurements, thereby simplifying the subsequent acceleration calculation while maintaining precision.
Solution Approach 2:
The patent segments the movement measurements into turn-related and non-turn-related categories before processing. This segmentation allows the system to maintain computational simplicity by using straightforward filtering operations rather than complex real-time adjustments, while simultaneously improving measurement precision by ensuring only appropriate data segments are used in the final acceleration estimation.
Data Source
AI summary
Embodiments of the present invention provide systems and methods for combining sensor data to measure vehicle movement. Embodiments may collect vehicle and driving data using sensors of a mobile device of a user, such as a location determination sensor and a movement determination sensor. In some embodiments, the data from the sensors may be combined to more accurately estimate vehicle movement, such as vehicle acceleration.