Primary Preview Region Gaze Detection for Driver Distraction
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Solution Overview
Problem
Distracted driving poses a significant risk of accidents, as drivers often fail to adequately focus on the road and its obstacles, leading to substantial loss of life and economic harm.
Innovation Solution
A computer-implemented method and system that detect distracted driving by determining a primary preview region (PPR) in a vehicle's environment representation, tracking the driver's gaze point, and generating an alert when the gaze point is outside the PPR, thereby decreasing the attention level for the PPR.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the driver's gaze is monitored continuously to detect distraction, then driver safety is improved, but system complexity and computational load increase
Solution Approach 1:
The environment is divided into multiple Primary Preview Regions (PPRs) rather than monitoring the entire field of view. Each PPR represents a critical area that requires driver attention, such as regions containing obstacles, road curves, or intersections. This segmentation reduces the computational burden by focusing gaze analysis only on these specific regions rather than the entire environment.
Solution Approach 2:
Different attention levels are assigned to different PPRs based on their importance and the driver's current gaze position. The system dynamically adjusts which regions require heightened attention, allowing for localized monitoring intensity rather than uniform surveillance of all areas. This enables the system to concentrate computational resources on the most critical regions at any given moment.
2Measurement precision
If multiple primary preview regions are monitored simultaneously, then detection accuracy is improved, but processing time increases
Solution Approach 1:
The system updates attention levels for multiple PPRs in periodic cycles rather than continuously monitoring all regions simultaneously. Gaze tracking and PPR updates occur at discrete time intervals, allowing the system to process multiple regions efficiently by batching operations. This periodic approach maintains detection accuracy while reducing overall processing time compared to continuous simultaneous monitoring.
Solution Approach 2:
The system uses feedback from the driver's actual gaze position to dynamically adjust which PPRs require immediate attention and updating. When the driver's gaze shifts, the system prioritizes updating PPRs in the new gaze direction or regions that have become critical based on changing environmental conditions. This feedback mechanism ensures that processing time is allocated to the most relevant regions, maintaining high detection accuracy without uniformly processing all PPRs at maximum frequency.
Data Source
AI summary
A computer-implemented method of detecting distracted driving comprises: determining, by one or more processors, a primary preview region (PPR) in a representation of an environment; determining, by the one or more processors, a gaze point for a driver based on a sequence of images of the driver; determining, by the one or more processors, that the gaze point is outside of the PPR; based on the determined gaze point being outside of the PPR, decreasing, by the one or more processors, an attention level for the PPR; based on the attention level for the PPR, generating, by the one or more processors, an alert.