In-Vehicle Unit Anomaly Detection via Inter-Vehicle Comparison
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Solution Overview
Problem
Existing in-vehicle unit technologies face challenges in accurately detecting abnormal installation states, such as those caused by hiding the unit in a glove box, which can impact communication and positioning capabilities, and cannot distinguish between anomalies within the unit and environmental factors like rough road vibrations.
Innovation Solution
The implementation of an inter-vehicle communication system where in-vehicle units share installation state indexes with nearby vehicles, allowing a criterion value to be set based on common environmental changes, enabling accurate detection of abnormal installation states by comparing these values to identify deviations specific to individual vehicles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If only a sensor included in the in-vehicle unit itself is used to detect installation state, then the device complexity is reduced, but the measurement precision and reliability of anomaly detection deteriorate due to inability to distinguish between unit-specific anomalies and environmental factors
Solution Approach 1:
The patent combines multiple sensors (acceleration sensor and gyro sensor) within the in-vehicle unit to detect installation state. It also merges data from multiple units across different vehicles to distinguish between individual anomalies and environmental factors, thereby improving measurement precision without excessive complexity increase
Solution Approach 2:
The detection system serves multiple functions: it detects installation state anomalies, distinguishes between unit-specific and environmental factors, and provides basis for service quality assessment. The same sensor data is used for both immediate anomaly detection and comparative analysis across vehicles
2Ease of operation
If a sensor in the in-vehicle unit is used to detect installation state, then the ease of operation is improved, but the reliability of anomaly detection deteriorates due to inability to differentiate between unit anomalies and environmental vibrations
Solution Approach 1:
The system uses feedback from multiple sources: real-time sensor data from the unit itself, historical data from the same unit, and comparative data from other vehicles. This multi-directional feedback mechanism allows the system to distinguish between transient environmental vibrations and genuine installation anomalies, improving reliability while maintaining ease of operation
Solution Approach 2:
The system performs preliminary actions by collecting and storing sensor data from multiple vehicles before anomaly detection is needed. By pre-establishing baseline patterns and comparative data, the system can reliably distinguish between normal environmental variations and actual anomalies when detection is required
3Reliability
If inter-vehicle communication is implemented to share installation state indexes, then the reliability of anomaly detection is improved, but the device complexity and communication requirements increase
Solution Approach 1:
Instead of requiring complex real-time synchronized communication, the system uses copying of installation state indexes and sensor data patterns from multiple vehicles. By analyzing copied data patterns and comparing them against established criteria, the system achieves high reliability anomaly detection without implementing complex real-time communication infrastructure
Solution Approach 2:
The system transforms complex sensor data into simplified installation state indexes and criterion values. By changing the parameter representation from raw sensor signals to processed indexes, the communication burden is reduced while maintaining detection reliability. The criteria are pre-calculated and stored, eliminating the need for complex real-time computations during anomaly detection
Data Source
AI summary
An in-vehicle unit, which is used in each of host vehicles including a subject vehicle and nearby vehicles, includes an inter-vehicle communicator to perform inter-vehicle communication. The in-vehicle unit in the subject vehicle includes a criterion value setting section and a different-unit anomaly detection section. The criterion value setting section receives a different-unit installation state index via the inter-vehicle communicator and sets successively a criterion value of an installation state index from the received different-unit installation state index specified based on an output value from a sensor instrument that successively outputs an output value corresponding to an installation state of the in-vehicle unit on each nearby vehicle. The different-unit anomaly detection section detects an abnormal installation state of the in-vehicle unit on a target nearby vehicle by comparing the criterion value with the different-unit installation state index received from the target nearby vehicle.