Vehicular Warning Signals Adapted to Driver Gaze Abnormalities
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Solution Overview
Problem
Current vehicle gaze detection systems fail to effectively account for driver eye abnormalities, such as amblyopia or strabismus, which can impact the perception of visual warnings, leading to reduced safety during vehicle operation.
Innovation Solution
A warning system that uses sensor data from cameras to detect abnormalities in a driver's gaze and modifies warning signals, such as increasing sensitivity or repositioning visual alerts, to improve the driver's ability to perceive critical safety notifications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If standard warning signals are used for all drivers, then the warning system is simple and cost-effective, but drivers with gaze abnormalities (amblyopia, strabismus) cannot perceive warnings effectively, reducing safety
Solution Approach 1:
The system performs preliminary gaze abnormality detection before issuing warnings. The processor analyzes sensor data to identify amblyopia or strabismus conditions in advance, then pre-adjusts warning signal parameters (brightness, position, timing) to ensure effective perception by drivers with gaze abnormalities.
Solution Approach 2:
The system dynamically changes warning signal parameters based on detected gaze abnormalities. For drivers with amblyopia or strabismus, the processor modifies brightness intensity, repositions display locations, and adjusts timing intervals to compensate for their reduced visual perception capabilities.
2Measurement precision
If gaze detection systems are implemented, then driver gaze direction can be identified, but the system fails to account for gaze abnormalities, leading to ineffective warning delivery
Solution Approach 1:
The system incorporates feedback loops where sensor data continuously monitors driver gaze patterns, and the processor compares actual gaze behavior against expected patterns. When abnormalities are detected, the system feeds back adjusted warning signal parameters to ensure effective communication with the driver despite their visual conditions.
Solution Approach 2:
Based on precise gaze measurement data, the system identifies abnormal patterns indicative of amblyopia or strabismus and dynamically adjusts warning signal parameters including display brightness, position, duration, and intensity to maintain effective warning delivery.
Data Source
AI summary
A vehicular warning system control system can include a processor and a memory in communication with the processor. The memory can include a warning system control module having instructions that, when executed by the processor, cause the processor to detect, using sensor data having information about a gaze of each eye of a driver of a vehicle, an abnormality of a gaze of the driver. The instructions further cause the processor to modify, using the sensor data, a signal emitted by the vehicle when the abnormality is detected.