Driver Abnormality Detection Using Gaze, Operation, and Travel Risk
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Solution Overview
Problem
Existing driver abnormality detection systems struggle to accurately and early detect signs of driver abnormality, particularly in real-world driving scenarios where environmental variations and temporary changes in driving actions can lead to false negatives or delayed detection.
Innovation Solution
A driver abnormality sign detection device that utilizes a control circuit to combine visual line information, driving operation information, and traveling environment information to calculate visual line abnormality, driving operation abnormality, and traveling risk, and then detects abnormality signs based on a comprehensive abnormality degree exceeding a predetermined threshold.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If predetermined combinations of driving functions are used for abnormality detection, then detection reliability is improved, but detection timing is delayed until abnormalities appear clearly and continuously
Solution Approach 1:
The system performs preliminary analysis by evaluating individual driving functions (visual line, driving operations) separately before combining them into comprehensive abnormality determination. This allows early detection of subtle changes in individual functions that may precede clear continuous abnormalities, enabling earlier intervention while maintaining reliability through subsequent comprehensive evaluation.
Solution Approach 2:
The detection system is segmented into multiple independent evaluation components: visual line abnormality degree calculation, driving operation abnormality degree calculation, and comprehensive abnormality degree calculation. Each segment processes specific driving functions independently, allowing early detection of localized abnormalities while the comprehensive evaluation ensures overall reliability by considering multiple factors together.
2Measurement precision
If individual driving functions are monitored separately, then early signs of abnormality can be detected, but false positives increase due to temporary changes in driving actions
Solution Approach 1:
The system merges multiple individual driving function evaluations (visual line abnormality degree, driving operation abnormality degree) into a comprehensive abnormality degree. This combination allows the system to distinguish true abnormalities from temporary changes by requiring consistent patterns across multiple functions, thereby reducing false positives while maintaining early detection capability.
Solution Approach 2:
The system continuously monitors driving functions and provides feedback through the comprehensive abnormality degree calculation. By comparing individual function abnormalities against each other and against thresholds, the system can identify when temporary changes occur versus when sustained abnormalities exist, reducing false positives while maintaining measurement precision for early detection.
Data Source
AI summary
A driver abnormality detection device is provided that detects an abnormality sign of a driver at a sufficiently earlier stage before driving actually becomes difficult. The detection device includes a control circuit configured to detect an abnormality sign of a driver based on visual line information from a visual line detector, driving operation information from a driving operation detector, and traveling environment information from a traveling environment information detector. The control circuit is configured to calculate a visual line abnormality degree, a driving operation abnormality degree, and a traveling risk of a vehicle. The control circuit is configured to combine the visual line abnormality degree, the driving operation abnormality degree, and the traveling risk to generate a comprehensive abnormality degree, and detect the abnormality sign of the driver when the comprehensive abnormality degree is a predetermined threshold value or greater.