Driver-Specific Alert Control for Visual Cognitive Driving Assistance
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Solution Overview
Problem
Conventional driving assistance systems fail to effectively address traffic accidents caused by elderly drivers with deteriorated visual cognitive abilities by not providing real-time feedback based on their visual processing capabilities while driving.
Innovation Solution
A driving assistance apparatus that identifies drivers, evaluates their visual cognitive abilities through event detection using surrounding information, and determines whether to output notification information based on the evaluation data, utilizing a processing unit to decide on the type and intensity of alerts via an output unit.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If notification information is output for every detected event, then driver safety is improved, but driver distraction and information overload worsen
Solution Approach 1:
The system applies different notification strategies to different driver groups based on their visual cognitive abilities. Evaluation data obtained through eye-tracking technology during a test drive is used to classify drivers into different groups, and notification information is selectively output based on the driver's group classification. This resolves the contradiction by providing targeted assistance only when needed for specific driver types.
Solution Approach 2:
The system changes the parameters of notification output based on the driver's visual cognitive ability evaluation results. The processing unit determines whether to output notification information by evaluating the driver's group classification, thereby dynamically adjusting the notification strategy to match the driver's capabilities and avoid unnecessary distraction.
2Measurement precision
If evaluation data collection is performed continuously, then accuracy of visual cognitive ability assessment is improved, but system complexity and processing load worsen
Solution Approach 1:
The system performs evaluation data collection and driver group classification in advance, before actual driving assistance is needed. The evaluation is conducted during a test drive phase, and the obtained evaluation data is stored for later use. This preliminary action reduces real-time processing complexity while maintaining assessment accuracy.
Solution Approach 2:
The system collects evaluation data for specific events during the test drive rather than continuously monitoring all driving conditions. By focusing data collection on representative events, the system achieves sufficient assessment accuracy without the excessive processing load of continuous full-scale monitoring.
Data Source
AI summary
A driving assistance apparatus includes: a driver identifying unit that identifies a driver driving a vehicle; an evaluation data obtaining unit that obtains, based on an identification result of the driver identifying unit, evaluation data on the driver's visual cognitive ability for an event that occurs when the driver is driving the vehicle; an event detecting unit that detects, on the basis of surrounding information data indicating a situation of the vehicle's surroundings, whether or not the event has occurred; and a processing unit that determines, in a case where the event has been detected and on the basis of the evaluation data on the driver, the evaluation data being related to the event, whether or not notification information is to be output from an output unit.