Automated Valet Parking Sensor Abnormality Detection
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Solution Overview
Problem
Automated valet parking systems face challenges in detecting abnormalities in recognition sensors, such as dirt or axis misalignment, which affect the accuracy of vehicle travel control and position estimation, leading to decreased reliability and convenience.
Innovation Solution
The system uses infrastructure sensors to identify the vehicle position and compare recognition result information with expected results to detect sensor abnormalities, transmitting notification information to users and potentially offering additional services like car wash or repair.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If the recognition sensor is used for vehicle travel control, then the automated valet parking service can be provided, but the recognition sensor may become abnormal (dirt, axis misalignment) leading to decreased recognition accuracy
Solution Approach 1:
The system compares recognition result information from the vehicle's recognition sensor with expected recognition result information stored in the server to detect abnormalities. This feedback mechanism continuously monitors sensor performance and identifies deviations, enabling timely detection of dirt, axis misalignment, or other sensor issues that would otherwise go unnoticed during automated operation.
2Productivity
If the recognition sensor operates continuously, then vehicle position estimation can be performed, but the sensor accuracy decreases due to abnormalities
Solution Approach 1:
The system establishes a feedback loop where recognition results are continuously compared against expected values stored on the server. This allows the system to maintain productivity by continuing operation while simultaneously monitoring for accuracy degradation, detecting when the sensor deviates from expected performance due to dirt, misalignment, or other abnormalities.
3Device complexity
If no sensor abnormality detection is implemented, then the system remains simple, but the accuracy of vehicle travel control decreases
Solution Approach 1:
The system introduces an intermediary comparison mechanism where recognition results are evaluated against expected values stored on the server. This intermediary layer enables abnormality detection without requiring direct intervention or complex additional hardware on the vehicle, maintaining relative system simplicity while significantly improving measurement precision through the comparison process.
Data Source
AI summary
An automated valet parking system provides an automated valet parking service in a parking lot. Recognition result information is generated based on a result of recognition by a recognition sensor when a vehicle exists in the parking lot. The automated valet parking system identifies the vehicle position in the parking lot by using an infrastructure sensor installed in the parking lot. The automated valet parking system acquires expected recognition result information expected to be obtained at the vehicle position. Then, the automated valet parking system compares the recognition result information with the expected recognition result information to calculate reliability of the recognition result information based on a difference between them. When the reliability is lower than a threshold, the automated valet parking system transmits notification information for notifying an abnormality of the recognition sensor to a terminal device operated by a user of the vehicle.