Eye Tracking Driver Alertness Detection via Vanishing Point
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current driver drowsiness detection methods are either time-consuming or incompatible with automatic lane-keeping systems, necessitating an improved solution for robust and quick alertness detection.
Innovation Solution
An eye tracking device determines a vanishing point of a vehicle in motion and analyzes the driver's gaze points over time to identify alertness based on the direction of gaze movement relative to the vanishing point, enabling accurate and timely detection of driver inattentiveness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If steering pattern monitoring is used for driver drowsiness detection, then detection can be performed, but it only works when the driver steers the vehicle actively and is incompatible with automatic lane-keeping systems
Solution Approach 1:
The patent replaces mechanical steering pattern monitoring with an optical eye tracking system that uses cameras and image processing to detect gaze direction and blink patterns. This substitution eliminates the dependency on active steering input while maintaining reliable drowsiness detection, as the eye tracking system can operate independently of the lane-keeping system's status.
2Adaptability or versatility
If vehicle position monitoring is used for driver drowsiness detection, then detection can be performed, but it only works when the driver steers the vehicle actively and is incompatible with automatic lane-keeping systems
Solution Approach 1:
The patent replaces vehicle position monitoring with direct eye tracking technology. By monitoring the driver's ocular movements, blink frequency, and gaze stability, the system achieves reliable drowsiness detection without requiring active steering input, thus ensuring compatibility with automatic lane-keeping systems.
3Speed
If conventional driver drowsiness detection methods are used, then detection can be performed, but they require some time to detect driver drowsiness
Solution Approach 1:
The system continuously tracks eye position, blink patterns, and gaze direction in real-time, maintaining a running analysis of driver alertness metrics. This continuous preliminary monitoring enables the system to detect drowsiness onset quickly and accurately, as the data collection and analysis are already in progress rather than starting from scratch when drowsiness is suspected.
Data Source
AI summary
The invention is related to a method for driver alertness detection, The method comprises the steps of determining a vanishing point of a vehicle in motion; determining over time, by an eye tracking device, a set of gaze points of the driver of the vehicle; determining a gaze movement from the set of gaze points; and identifying an alertness of the driver, based on a direction of the gaze movement relative to the vanishing point being outward. Further, the invention is related to an eye tracking device for driver alertness detection, an alertness detection system, a computer program, and a computer-readable medium.