Sensor Abnormality Detection Using Overlapping Regions
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Solution Overview
Problem
Conventional sensor abnormality detection techniques for surrounding environment recognition sensors in vehicles may erroneously detect abnormalities, leading to inaccurate results even when the sensors continue to operate normally after a collision, as they rely solely on collision magnitude, duration, and timing.
Innovation Solution
A sensor abnormality detection device that utilizes multiple sensors to detect overlapping regions and compare coincidence degrees of surrounding environment information before and after a collision, determining sensor abnormalities based on changes in detected situations within these regions, and adjusts vehicle movement to avoid unreliable sensor data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sensor abnormality is determined based on collision magnitude, duration, and timing, then sensor abnormality detection can be performed, but false detection occurs when sensors continue to operate normally
Solution Approach 1:
The system performs preliminary actions by detecting collision magnitude, duration, and timing before determining sensor abnormality. This preliminary detection of collision parameters allows the system to prepare for abnormality determination by having collision information ready, which is then combined with sensor data comparison to improve accuracy and reduce false detections.
Solution Approach 2:
The system uses feedback by comparing surrounding environment information from overlapping detection regions of multiple sensors. When collision occurs, the system feedbacks and compares sensor readings from the same spatial region to identify inconsistencies, thereby determining whether a sensor has actually malfunctioned or is operating normally despite the collision.
2Measurement precision
If multiple sensors with overlapping detection regions are used, then sensor abnormality can be detected by comparing coincidence degrees, but device complexity increases
Solution Approach 1:
The system segments the detection space into multiple regions with overlapping coverage from different sensors. By dividing the surrounding environment into detectable segments and assigning each to specific sensors, the system enables comparison of coincidence degrees in overlapping regions, improving abnormality detection accuracy while maintaining manageable system architecture.
Solution Approach 2:
Multiple sensors serve universal functions by detecting the same surrounding environment regions simultaneously. Each sensor performs the same detection function but covers overlapping spatial regions, allowing the system to compare their readings for abnormality detection without requiring specialized sensors for each function.
Data Source
AI summary
A sensor abnormality detection device includes a first sensor that detects a situation of a first region at a periphery of an own vehicle; a second sensor that detects a situation of a second region, which is a region different from the first region and includes an overlapping region that overlaps a part of the first region; a sensor abnormality determination means that determines abnormality of the first sensor and the second sensor; and a collision detection means that detects collision of the own vehicle to an object; wherein the sensor abnormality determination means determines that at least one of the first sensor and the second sensor has abnormality when the first region and the second region do not overlap in the overlapping region after the collision is detected.