Driver Concentration Estimation Using Gaze and Image Reliability
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for monitoring a driver's attention fail to accurately estimate concentration levels, particularly in varying driving conditions, leading to inefficiencies in warning systems and driving assistance.
Innovation Solution
An electronic device equipped with an image-capturing unit, line-of-sight detector, and controller that generates images, detects the line of sight, and estimates concentration based on image reliability and line-of-sight data, using machine learning algorithms to improve accuracy across different scenarios.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If cumulative visibility is calculated and compared with reference value, then driver attention can be monitored, but estimation accuracy decreases in varying driving conditions
Solution Approach 1:
The patent changes the parameters used for concentration estimation from simple cumulative visibility to a multi-parameter approach including line-of-sight position, image reliability scores, and multiple visual features. This allows the system to adapt to varying driving conditions by selecting and weighting different parameters dynamically, thereby improving measurement precision while maintaining monitoring reliability.
Solution Approach 2:
The patent creates a universal estimation system that can handle multiple driving scenarios (highway, urban, curved roads, night driving) using a single integrated framework. The system combines line-of-sight detection, image quality assessment, and multiple concentration indicators into one multi-functional approach that works across diverse conditions, resolving the contradiction between reliability and precision.
2Measurement precision
If multiple parameters are considered for concentration estimation, then estimation accuracy improves, but system complexity increases
Solution Approach 1:
The patent segments the concentration estimation system into distinct functional modules: line-of-sight detection module, image reliability assessment module, concentration calculation module, and warning module. Each module handles specific tasks independently, allowing the system to consider multiple parameters for high precision while managing complexity through modular architecture and clear separation of concerns.
3Measurement precision
If line-of-sight detection is used to improve concentration estimation, then measurement precision increases, but device complexity increases
Solution Approach 1:
The patent merges the line-of-sight detection function with the existing image capturing system. The line-of-sight detector utilizes the same camera or integrated sensor array already present in the vehicle, combining multiple detection functions into a unified system. This reduces overall device complexity while maintaining the precision benefits of line-of-sight tracking for concentration estimation.
Data Source
AI summary
An electronic device 10 includes an image-capturing unit 11, a line-of-sight detector 12, and a controller 14. The image-capturing unit 11 generates an image corresponding to a view by performing image capturing. The line-of-sight detector 12 detects a line of sight of a subject with respect to the view. The controller 14 determines, based on the image, the reliability of the image as a source of estimation of the degree of concentration of the subject. The controller 14 estimates the degree of concentration of the subject based on the reliability, the image, and the line of sight.