Axial Displacement Judgment Device for Radar Accuracy
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Solution Overview
Problem
Conventional axial displacement judgment devices for radar devices on vehicles face accuracy issues due to varying detection values from acceleration sensors when the vehicle travels on rough roads, leading to incorrect judgments.
Innovation Solution
An axial displacement judgment device that uses a combination of first and second acceleration sensors to calculate difference values, average difference values, and standard deviations to accurately determine the axial displacement of a radar device, employing a judgment section to assess the occurrence based on these calculated values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If acceleration sensor detection values are used to judge axial displacement, then displacement detection is enabled, but wrong judgment occurs on rough roads
Solution Approach 1:
The system dynamically adapts the judgment threshold based on detected vibration levels. When large vibrations are detected (rough road conditions), the threshold is adjusted to prevent false positives. This dynamic adjustment allows the system to maintain high detection accuracy while avoiding wrong judgments during dynamic driving conditions.
Solution Approach 2:
The invention changes the parameter of judgment threshold based on vibration magnitude. By monitoring the magnitude of acceleration sensor outputs and adjusting the displacement judgment threshold accordingly, the system can distinguish between actual displacement and vibration-induced signal variations, resolving the contradiction between detection sensitivity and judgment reliability.
2Measurement precision
If displacement detection sensitivity is increased, then detection accuracy improves, but false detection increases on rough roads
Solution Approach 1:
The system implements feedback by continuously monitoring acceleration sensor outputs and using this information to adjust the judgment threshold. The detected vibration levels feed back into the decision-making process, allowing the system to maintain high sensitivity while automatically compensating for rough road conditions that cause false detections.
Solution Approach 2:
The judgment threshold is made dynamic rather than fixed. The system adjusts the threshold in real-time based on the magnitude of detected vibrations, enabling high detection sensitivity under normal conditions while automatically reducing false detections when large vibrations occur during rough road travel.
Data Source
AI summary
An axial displacement judgment device has a first detector acquiring a first detection value from a G sensor which detects an acceleration applied to a radar device, a second detector acquiring a second detection value from a YG sensor which detects the acceleration applied to a vehicle body, and a difference calculator calculating a detection difference value, which is a difference between the first detection value and the second detection value, every first period. The device further has an average difference value calculator calculating an average difference value as an average value of the detection difference values calculated during an acquisition period including the first periods, a deviation calculator calculating a difference standard deviation of the detection difference values calculated during the acquisition period, and a judgment section detecting occurrence of an axial displacement of the radar device based on the average difference value and the difference standard deviation.