Vehicle Event Recorder Thresholding for Environmental Risk Detection
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Solution Overview
Problem
Existing vehicle event recorders fail to adequately account for environmental conditions that contribute to the risk of anomalous events, such as driver distraction or unusual challenges, which can affect the accuracy of event detection.
Innovation Solution
A vehicle event recorder system that includes sensors to detect environmental conditions and adjusts an event detection threshold based on factors like excessive light, noise, or complex intersections, thereby enhancing the system's ability to identify potential risks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a fixed event detection threshold is used, then the system operation is simple, but the detection accuracy deteriorates under varying environmental conditions
Solution Approach 1:
The patent implements dynamic threshold adjustment by continuously monitoring environmental conditions (light, noise, temperature) and modifying the event detection threshold accordingly. Instead of a fixed threshold, the system adapts the threshold levels based on real-time environmental assessments, allowing accurate event detection across varying conditions while maintaining automated operation.
Solution Approach 2:
The system changes the detection threshold parameter based on environmental condition parameters. When environmental distractions are detected (e.g., excessive light, noise, or complex intersection conditions), the threshold parameters are adjusted to prevent false negatives, thereby improving detection accuracy without requiring complex manual intervention.
2Reliability
If environmental conditions are monitored and thresholds are adjusted dynamically, then event detection accuracy improves, but the system complexity increases
Solution Approach 1:
The system employs a multi-functional architecture where the processor performs both environmental condition monitoring and event detection functions. The same sensor system serves dual purposes: assessing environmental distractions and detecting actual events. This universal approach improves reliability without proportionally increasing system complexity, as existing components are leveraged for multiple functions.
Solution Approach 2:
The system automatically assesses environmental conditions and adjusts its own detection thresholds without external intervention. The processor self-regulates the detection parameters based on real-time environmental feedback, enabling the system to maintain high reliability autonomously. This self-service mechanism reduces the need for external calibration or manual adjustment, offsetting the added complexity through automated operation.
Data Source
AI summary
A system for determining risky events includes an input interface and a processor. The input interface is for receiving sensor data on environmental conditions. The processor is for determining whether the environmental conditions indicate an increase in event probability and, in the event that environmental conditions indicate the increase in the event probability, adjusting an event detection threshold.