Vehicle Collision Detection Using High-Rate Acceleration Context
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional collision detection systems rely on accelerometer data alone, which is unreliable due to false positives and negatives, and fail to accurately differentiate between collisions and non-collision events, such as harsh braking, potholes, or road surface features, leading to inaccurate responses.
Innovation Solution
A telematics-based system that captures high-rate acceleration data and combines it with GPS and speed data to compute an accident score, filtering out noise events and harsh braking, and using a trained classifier to determine the likelihood of a collision by analyzing data before and after the event, thereby reducing false detection rates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional collision detection systems use accelerometer data alone, then the system is simple to operate, but the detection reliability is poor due to false positives and negatives
Solution Approach 1:
The patent combines multiple data sources including high-rate accelerometer data, GPS data, and speed data into a unified collision detection system. This merging of multiple sensing modalities allows the system to cross-validate information and distinguish true collision events from false positives caused by harsh braking or road surface features, thereby improving detection reliability while maintaining operational simplicity through integrated processing
2Measurement precision
If the system captures high-rate acceleration data and combines it with GPS and speed data, then the measurement precision is improved, but the use of energy increases
Solution Approach 1:
The system implements periodic sampling of acceleration data at high rates (e.g., 80Hz-120Hz) specifically during potential collision events rather than continuously maintaining maximum sampling rates. This periodic high-rate capture during critical moments provides precise measurement when needed while reducing overall energy consumption compared to continuous maximum-rate sampling
Solution Approach 2:
The system performs preliminary analysis of acceleration patterns to identify potential collision events before full high-rate capture is activated. By detecting preliminary indicators of collision and then activating high-rate sampling only when these indicators are present, the system achieves high measurement precision for actual collision events while minimizing energy consumption during normal operation
3Reliability
If the system filters out noise events and harsh braking events, then the reliability of collision detection is improved, but the device complexity increases
Solution Approach 1:
The patent segments the collision detection process into distinct analytical stages: initial acceleration pattern recognition, contextual analysis using GPS and speed data, classification of event types (collision vs. harsh braking vs. noise), and final determination. This segmentation allows each stage to focus on specific aspects of data analysis, improving reliability through systematic filtering while managing complexity through modular processing steps
4Productivity
If the system provides timely response to potential collisions, then the productivity of fleet management is improved, but the loss of time for data analysis increases
Solution Approach 1:
The system performs preliminary analysis of acceleration patterns and contextual data (GPS location, speed, road conditions) in real-time as data is being captured, rather than waiting to collect all data first. This preliminary action enables the system to identify potential collision events and trigger responses more quickly, improving fleet management productivity while minimizing the total time required for complete data analysis through parallel processing
Data Source
Figure 1
Figure 2A
Figure 2B
AI summary
Described herein are various techniques, including a method that uses high-rate acceleration data for computing an accident score indicative of a potential collision and triggering an action in response to determining that the accident score indicates a potential collision. The method includes filtering out undesired high-rate acceleration trigger events such as noise and harsh braking events prior to determining the accident score. The accident score is based on contexts or scores computed from high-rate acceleration data, speed, and GPS data captured by a telematics monitor deployed in a vehicle.