Driver Gaze Reference Detection from Forward-Travel Images
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Solution Overview
Problem
Existing techniques for detecting a driver's line of sight direction during straight travel of a moving body, such as an automobile, are not sufficiently efficient for easy and automatic detection.
Innovation Solution
An image processing device that acquires sensing information and captured images of a driver, identifies images taken while the vehicle is traveling forward, and detects a reference line of sight direction based on statistical values from multiple images, allowing for automatic detection when the driver is facing forward.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual detection methods are used to detect driver's line of sight direction, then detection accuracy can be maintained, but the ease of operation and automation are reduced
Solution Approach 1:
The system automatically detects the driver's line of sight direction by having the driver naturally gaze at the road during normal driving. The detection apparatus captures images and automatically processes them to determine line of sight direction without requiring the driver to perform any special actions or the operator to manually analyze each image, thus achieving self-service detection.
Solution Approach 2:
The system performs preliminary detection by capturing multiple images of the driver's face during normal driving conditions before final analysis. By pre-capturing images and identifying candidate regions in advance, the system prepares the data needed for accurate line of sight detection without requiring manual intervention at the moment of detection.
2Measurement precision
If multiple captured images are processed to improve detection accuracy, then measurement precision improves, but loss of time increases
Solution Approach 1:
The system extracts only the relevant portions of captured images that contain the driver's face and eyes, rather than processing entire images. By extracting and focusing on specific regions of interest (the driver's facial features), the system reduces processing time while maintaining detection accuracy based on multiple images.
Solution Approach 2:
The system processes a plurality of captured images to ensure accurate detection of line of sight direction. By using multiple images rather than a single image, the system achieves higher measurement precision through statistical analysis of multiple data points, compensating for the additional processing time required.
Data Source
AI summary
Sensing information indicating a state of a moving body is acquired. A plurality of captured images that capture a driver driving the moving body are acquired. From the plurality of captured images, captured images captured in a state of the moving body traveling forward based on the sensing information. A reference line of sight direction in a case of the driver facing forward is detected based on a statistical value of a line of sight direction of the driver indicated by each of the identified captured images.