Vehicle Hazard Reporting Using Driver Gaze Recognition
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing vehicle reporting systems increase driver annoyance and risk recognition confusion by frequently reporting obstacles and risks from various directions, leading to impaired traffic safety awareness.
Innovation Solution
A reporting device that utilizes front and rear detection units, a driver monitoring camera, and a control unit to determine if the driver recognizes obstacles or risks based on sight line overlap, and selectively reports these hazards when recognition is lacking, adjusting reporting intensity and direction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the reporting frequency is increased to improve traffic safety awareness, then the driver's awareness of risks is improved, but the driver feels annoyed and recognition of important risks is affected
Solution Approach 1:
The system changes the parameter of reporting frequency from fixed high frequency to dynamic frequency based on driver recognition state. When the driver recognizes a risk, the reporting frequency is reduced; when the driver does not recognize a risk, the reporting frequency is increased. This resolves the contradiction by making the reporting frequency adaptive rather than static.
Solution Approach 2:
The system uses sight line monitoring to detect whether the driver is looking at the reported risk, creating a feedback loop. Based on this feedback, the reporting control unit adjusts subsequent reporting behavior. This feedback mechanism allows the system to learn from driver responses and optimize reporting frequency to avoid annoyance while maintaining safety awareness.
2Loss of information
If reporting is performed for all detected obstacles and risks, then comprehensive safety information is provided, but unnecessary alerts increase driver distraction
Solution Approach 1:
The system applies different reporting strategies to different risks based on local conditions - specifically whether the driver is looking at each risk. Instead of uniform reporting for all detected obstacles, the system tailors reporting to individual risk situations and individual driver attention states, providing comprehensive information only where needed.
Solution Approach 2:
The system performs partial reporting rather than complete reporting of all detected risks. It selectively reports only those risks that the driver has not recognized, omitting risks that the driver is already aware of. This partial action approach maintains comprehensive safety coverage while eliminating unnecessary alerts that would cause distraction.
3Measurement precision
If the reporting system monitors driver sight lines continuously, then accurate risk recognition detection is achieved, but device complexity increases
Solution Approach 1:
The sight line monitoring unit serves multiple functions: it detects driver attention state, determines whether the driver recognizes reported risks, and provides feedback for adjusting reporting frequency. This multi-functionality reduces the need for separate dedicated components for each function, thereby limiting the increase in device complexity while maintaining high measurement precision.
Data Source
AI summary
A reporting device mounted on a vehicle, comprises: a recognition processing unit configured to recognize an obstacle existing in front of the vehicle on the basis of information detected by a front detection unit and a risk target existing at least diagonally behind the vehicle on the basis of information detected by a rear detection unit; a sight line monitoring unit configured to determine whether or not a driver recognizes the obstacle or the risk target on the basis of an overlap between a sight line of the driver acquired on the basis of a captured image of the driver and the obstacle or the risk target; and a reporting control unit configured to report the existence of the obstacle or the risk target.