一种基于眼动分析的驾驶能力评估系统和方法
By using an eye-tracking-based driving ability assessment method, which utilizes fixation point data and other indicators to evaluate the driver's visual information search and cognition, this method solves the problems of insufficient consistency and limited data in traditional assessment methods, and achieves a more accurate assessment of driver ability.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- NAVAL AVIATION UNIV
- Filing Date
- 2025-05-08
- Publication Date
- 2026-07-17
AI Technical Summary
Existing methods for assessing driving ability rely on subjective evaluations and single data points, resulting in inconsistent assessment results that fail to fully reflect a driver's level of attention and reaction speed during actual driving.
By acquiring the driver's driving parameters and eye movement data on the simulated driving platform, and using indicators such as fixation percentage, saccade amplitude per unit time, visual entropy value, and nearest neighbor index, the driver's visual information search efficiency and cognitive changes are evaluated.
It enables precise assessment of driver attention allocation and visual search patterns, supporting driver training and personalized assistance programs, and improving the accuracy and comprehensiveness of the assessment.
Smart Images
Figure CN120167967B_ABST