Accident Impact Thresholding by Parking Area Attribute
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Solution Overview
Problem
Conventional accident determination devices face challenges in accurately determining accidents in moving objects, particularly in parking spaces, due to varying impact magnitudes caused by road irregularities and conditions, leading to potential misclassification.
Innovation Solution
An accident determination device equipped with sensors to detect impacts and acquire position information, which adjusts the determination threshold based on the area attributes, such as road type or surface conditions, to differentiate between accident occurrences in various environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a fixed determination threshold is used for accident detection, then the device complexity is reduced, but the measurement precision deteriorates due to varying impact magnitudes in different areas
Solution Approach 1:
The patent applies dynamics by making the determination threshold adjustable rather than fixed. The processor dynamically changes the threshold value based on the detected area type (parking space vs. road), allowing the system to adapt to different environmental conditions and improve detection accuracy without excessive complexity
Solution Approach 2:
The patent changes the parameter of the determination threshold based on the area attribute. By detecting whether the moving object is in a parking space or on a road, and adjusting the threshold accordingly (lower for parking spaces, higher for roads), the system optimizes accident detection precision for different locations
2Reliability
If a high determination threshold is used to reduce false positives on roads, then the reliability improves for road scenarios, but the measurement precision deteriorates for parking space detection
Solution Approach 1:
The patent applies local quality by setting different determination thresholds for different locations. Parking spaces use a lower threshold to detect smaller impacts, while roads use a higher threshold to avoid false positives from normal road irregularities. This localized adaptation optimizes detection for each specific environment
Solution Approach 2:
The system dynamically adjusts the determination threshold based on the detected area type. When the area determining unit identifies a parking space, the processor lowers the threshold; when it identifies a road, the processor raises the threshold, enabling the system to maintain high reliability across different scenarios
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances the accuracy of accident detection by setting appropriate thresholds according to the location, reducing false positives and negatives, especially in parking spaces where smaller impacts are common.
Implementation Method 1
a first sensor that detects an impact having occurred in said moving object
Data Source
AI summary
An accident determination device comprising: a first sensor that detects an impact having occurred in a moving object; a second sensor that acquires position information of the moving object; an area determining unit that determines the area attribute of the area where said moving object is located; and a processor that compares impact value of the impact with a determination threshold. The processor sets the determination threshold according to the area attribute defined by the area determining unit. When the area attribute of the area indicates a parking space, the processor sets said determination threshold to be at a lower value than when the area attribute indicates a road. The processor determines whether the accident has occurred based on the result of comparing the impact value with said determination threshold.