Driver Gaze Sector Control for Stable Vehicle Attention Detection
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Solution Overview
Problem
Current vehicle control systems face instability and low accuracy due to frequent changes in the field of view angle range caused by subtle driver actions, such as head deviations, leading to inconsistent warning policies.
Innovation Solution
The system divides the field of view range into multiple sectors and determines the focus sector based on the driver's line-of-sight direction, using sensors like cameras or eye trackers, to stabilize detection and improve accuracy by considering all possible field of view ranges, thereby enhancing vehicle control policies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the field of view angle range is used to detect driver attention, then the detection can be implemented, but subtle driver actions cause frequent changes in the field of view angle range, resulting in unstable detection and low accuracy
Solution Approach 1:
The patent divides the field of view into multiple fixed sectors (first field of view sector, second field of view sector, etc.) instead of using a dynamic field of view angle range. By segmenting the visual space into discrete, stable regions, the system eliminates the instability caused by subtle driver actions while maintaining detection accuracy for determining driving intentions.
2Adaptability or versatility
If the field of view angle range changes with driver head deviation, then the detection adapts to driver movements, but this causes excessive frequent changes in warning policy and reduces warning accuracy
Solution Approach 1:
The patent segments the field of view into multiple fixed sectors that remain stable regardless of driver head deviations. This segmentation allows the system to maintain reliable warning policies by detecting which fixed sector contains the target object, rather than relying on a dynamic field of view angle range that changes with driver movements.
Solution Approach 2:
The patent transitions from a continuous field of view angle range to a discrete sector-based representation. By changing from a continuous dimensional measurement to a discrete sector classification, the system achieves stability while maintaining the ability to detect and respond to driver attention patterns.
Data Source
AI summary
A vehicle control method and an apparatus using the vehicle control method are provided. The control method includes: obtaining sight information of a driver, where the sight information includes a focus sector of the driver, and the focus sector includes at least one of a plurality of field of view sectors of a vehicle; and obtaining a control policy of the vehicle based on at least the sight information. In this control method, the focus sector represents a field of view range of the driver, and stability of a detection result of the field of view range is improved, so that accuracy of vehicle control is improved.