Acceleration Event Characterization via Dual-Interval Filtering
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Solution Overview
Problem
GPS receivers face limitations in accurately determining vehicle acceleration due to dependence on satellite availability and noise in received signals, which affects the reliability of acceleration measurements.
Innovation Solution
An acceleration characterization telematics system that includes an acceleration sensor, storage device, and processor, configured to receive and filter acceleration information using short and long interval filters, apply threshold values, and characterize acceleration events by analyzing leading edges, trailing edges, and amplitudes, thereby improving the accuracy of acceleration measurements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If GPS receiver is used to determine acceleration, then location information can be obtained, but measurement precision deteriorates due to satellite availability and signal noise
Solution Approach 1:
The patent segments the acceleration measurement task into two independent parts: GPS provides location data while accelerometer provides acceleration data. This segmentation allows each sensor to operate in its optimal performance range, with the accelerometer handling acceleration measurements independently of GPS satellite availability, thereby resolving the contradiction between measurement precision and reliability
Solution Approach 2:
The patent introduces an intermediary processing system that receives data from both GPS and accelerometer, then fuses these data streams through coordinate transformation and filtering algorithms. This intermediary processing layer reconciles the limitations of individual sensors, maintaining both precision and reliability by compensating for GPS weaknesses using accelerometer data
2Measurement precision
If acceleration data is filtered using multiple intervals and thresholds, then measurement precision improves, but device complexity increases
Solution Approach 1:
The filtering process is segmented into distinct stages: short-interval filtering for immediate noise reduction, long-interval filtering for trend analysis, and threshold-based event detection. Each stage processes data independently with specific parameters, allowing precise acceleration event characterization while organizing complexity into manageable, modular processing steps
Solution Approach 2:
The patent applies partial filtering actions by using different filter intervals and threshold levels for different aspects of acceleration analysis. Rather than applying a single comprehensive filter, it uses selective filtering at multiple levels, achieving high measurement precision through cumulative partial actions that together provide thorough noise reduction and event detection
Data Source
AI summary
Systems and methods for the efficient characterization of acceleration events in accordance embodiments of the invention are disclosed. In one embodiment of the invention, an acceleration characterization telematics system includes an acceleration sensor, a storage device, where the storage device is configured to store an acceleration event characterization application, and a processor, wherein the acceleration event characterization application configures the processor to receive acceleration information using the acceleration sensor, determine short interval filter information using the received acceleration information, determine long interval filter information using the received acceleration information, and characterize an acceleration event in the received acceleration information using the received acceleration information, the short interval filter information, and the long interval filter information.