Driver Sightline Detection for Pre-Abnormal Attention Decline
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Solution Overview
Problem
Existing driver state detection systems fail to detect subtle declines in a driver's attention function due to mild diseases or aging, as they rely on amplitude and frequency of saccades, which do not show obvious differences in pre-abnormal states where drivers can still safely operate but may benefit from assistance.
Innovation Solution
A driver abnormality sign detection apparatus that acquires travel environment information and detects the driver's sightline to identify visual recognition required points, determining if the driver has visually recognized these points and detecting abnormality based on missed recognition due to reduced attention function, using a controller to guide the driver's sightline through output devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If driver state detection relies on amplitude and frequency of saccades, then the detection method is simple, but it cannot detect pre-abnormal states where attention function is slightly declined
Solution Approach 1:
The detection system is segmented into multiple independent components: travel environment information acquisition device, sightline detector, and controller. Each component performs a specific function (acquiring environment data, detecting sightline position, analyzing recognition status), allowing the system to detect pre-abnormal states through integrated analysis rather than relying on a single complex measurement method
Solution Approach 2:
The patent introduces an intermediary approach by using sightline position and visual recognition analysis as a mediator between the driver's internal attention state and external detection. Instead of directly measuring attention through complex physiological signals, the system mediates detection through observable sightline behavior and visual recognition patterns, enabling early detection of attention decline
2Reliability
If the system detects only obvious saccade changes, then the detection system remains simple, but it misses early-stage attention decline before driving difficulty occurs
Solution Approach 1:
The system performs preliminary detection of attention decline by monitoring sightline position and visual recognition status before the driver reaches a state of driving difficulty. The controller identifies visual recognition required points in advance and continuously checks whether the driver's sightline directs to these points, enabling early intervention during the pre-abnormal state
Solution Approach 2:
The system establishes a feedback loop where the controller continuously monitors the relationship between identified visual recognition required points and actual sightline position. When the driver fails to visually recognize required points, the system provides feedback indicating potential attention decline, allowing for corrective action before safety is compromised
Data Source
AI summary
A driver pre-abnormal detection apparatus includes: sensors to acquire travel environment information of a vehicle; an in-vehicle camera that detects the driver's sightline; and a controller configured to detect a driver's pre-abnormal state based on the travel environment information and the driver's sightline. The controller identifies a visual recognition required point to be visually recognized by the driver based on the travel environment information, determines whether the driver has visually recognized the visual recognition required point based on the driver's sightline, and detects the driver's pre-abnormal state based on a fact that the driver has not visually recognized the visual recognition required point.