Driver eye movement characteristics handover detecting and tracing method based on light sensing

Abstract

The invention discloses a driver eye movement characteristics handover detecting and tracing method based on light sensing, comprising the following steps: detecting illuminance by a light sensor, positioning a high illuminance condition by a Harr human eye detection method, and positioning a low illuminance condition by a bi-dimensional orthotropic Log-Gabor human eye detection method started by a computer; maintaining all-day position without influence of illuminance; and adding two dimensional parameters of system noise and observation noise on the basis of an uniform model after positioning, performing logarithmic transform on the two dimensional parameters, establishing a human eye non-linear model and a sampling strong tracking non-linear filter, adjusting system process noise and observation noise covariance matrix by fading factors, improving the non-linear strong tracking capability and model state robustness of a UKF filter, adapting to driver normal emergent operation reaction, and improving real time property of an algorithm by adopting a sampling strategy that (n+2) numbered sampling points perform strong tracking on Sigma point in the UKF filter.

Description

technical field [0001] The invention relates to an image detection and tracking method, in particular to a driver's eye detection and eye movement tracking method in a driving environment. technical background [0002] With the rapid development of science and technology and social economy, while the number of cars in the world is increasing rapidly, vicious road traffic accidents are also increasing simultaneously. According to the statistical analysis of traffic accidents in European and American countries, it is shown that among numerous traffic accidents, 80% to 90% are caused by driver's human factors, and fatigue driving is the "first killer" most likely to cause major traffic accidents. According to statistics from the National Highway Traffic Safety Administration of the United States, there are about 100,000 road traffic accidents in the United States each year due to drivers falling asleep while driving, of which about 1,500 directly lead to death and 71,000 accide...

AI Technical Summary

Problems solved by technology

In practical applications, they all expose the following problems that need to be solved urgently: 1. It is difficult to track eye movement under nighttime lighting conditions; 2. The eye tracking algorithm in the actual driving environment has high complexity, long calculation time, and poor real-time performance; 3. The normal emergency operation of the driver often leads to the failure of eye tracking, and its robustness and accuracy are poor

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