Vehicle Sensor Abnormality Detection via Motion Quantity Comparison
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Solution Overview
Problem
Existing sensor systems on vehicles fail to accurately detect abnormalities, leading to reduced accuracy in motion estimation due to uncorrected errors in external and internal sensors.
Innovation Solution
An abnormality detection device and method that utilize a correction block to estimate and correct errors in internal motion physical quantities based on external information from multiple sensors, and a determination block to compare corrected internal motion with external motion quantities to identify sensor abnormalities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple sensors are used to acquire external and internal information, then the accuracy of motion estimation is improved, but the complexity of the sensor system increases
Solution Approach 1:
The sensor system is segmented into external sensors (cameras, LIDAR, radar) and internal sensors (gyroscopes, accelerometers), with separate processing paths for external information and internal information that are later integrated in the motion estimation process
Solution Approach 2:
A correction block acts as an intermediary that estimates and corrects errors in internal motion physical quantities based on external information, mediating between the external and internal sensor data to improve overall accuracy
2Reliability
If error correction is applied to internal motion physical quantities, then the reliability of motion estimation is improved, but the computational processing time increases
Solution Approach 1:
Error correction is performed preliminarily on internal motion physical quantities before they are used in motion estimation, estimating and correcting errors based on external information in advance to ensure reliability without delaying the main estimation process
3Measurement precision
If multiple motion physical quantities are compared to detect abnormalities, then the accuracy of abnormality detection is improved, but the complexity of the detection process increases
Solution Approach 1:
The abnormality detection process is segmented into separate comparison paths: external motion physical quantities are compared against each other, and corrected internal motion physical quantities are compared separately, allowing systematic detection of abnormalities in different sensor components
Solution Approach 2:
The determination block uses feedback from multiple comparison results to identify sensor abnormalities, comparing external motion quantities with corrected internal motion quantities and using the outcomes to detect and identify faulty sensors
Data Source
AI summary
An abnormality is detected in a sensor system mounted on a vehicle and including first and second external sensors for acquiring external information and an internal sensor for acquiring internal information. An error, occurring in an internal motion physical quantity based on the internal information, is estimated based on the external information, and the error is corrected. A first external motion physical quantity based on the external information acquired by the first external sensor, a second external motion physical quantity based on the external information acquired by the second external sensor, and the internal motion physical quantity in which the error is corrected by the correction block are compared to determine an abnormality in the sensor system.