Driver Gaze Alert Timing Using Past Vehicle Recognition Positions
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Solution Overview
Problem
Existing driving assistance systems fail to perform alerts at appropriate timings, leading to the risk of drivers overlooking important visual targets due to inadequate consideration of when the driver should be alerted.
Innovation Solution
A driving assistance device that includes a sight line detector, feature detector, visual recognition determiner, position detector, and alerter, which determines the appropriate timing for alerts based on comparisons between the current vehicle's position and a past position where another driver with better skills visually recognized a feature.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If alerting is performed to prompt drivers to visually recognize features, then the reliability of visual recognition is improved, but the timing of alerting may be inappropriate causing drivers to still overlook features
Solution Approach 1:
The system performs preliminary analysis by obtaining past position data where features were successfully recognized and compares it with current vehicle position and sight line data. This preliminary action allows the system to determine the optimal alerting timing before issuing the alert, ensuring the driver will have an opportunity to visually recognize the feature when alerted.
Solution Approach 2:
The system utilizes feedback from past recognition data stored in the database, comparing historical position and sight line information with current conditions. This feedback mechanism enables the system to learn from past successful recognitions and adjust alerting timing accordingly, improving both reliability and timing accuracy.
2Measurement precision
If the system compares current position with past recognition positions to determine alerting timing, then the alerting precision is improved, but the device complexity increases
Solution Approach 1:
The system creates a simplified representation of past recognition conditions by storing key position data in a database. Instead of analyzing complex historical data in real-time, the system copies essential position information and compares it with current simplified data, reducing processing complexity while maintaining precision.
Solution Approach 2:
The system extracts only the essential position information needed for timing determination from complex historical data. By taking out only the critical position coordinates and comparing them with current position data, the system achieves precise timing determination without being burdened by unnecessary data processing complexity.
Data Source
AI summary
A driving assistance device includes: a sight line detector that detects a sight line of a first user driving a first vehicle; a feature detector that detects a feature in a vicinity of the first vehicle; a visual recognition determiner that determines whether the first user visually recognized the feature, based on the sight line detected and the feature detected; a position detector that detects a first position of the first vehicle; an obtainer that obtains a second position that a second vehicle was at when a second user driving the second vehicle visually recognized the feature in past; and an alerter that performs, at a timing determined based on a result of comparison between the first position and the second position, alerting to prompt the first user to visually recognize the feature, when the visual recognition determiner determines that the first user has not visually recognized the feature.