车载驾驶员疲劳驾驶预警与控制系统研究

摘要

为了识别与安全控制疲劳危险驾驶行为，有效预防与减少因疲劳危险驾驶导致的交通事故，基于疲劳检测分级、预警与自动智能控制技术，开发出车载驾驶员疲劳驾驶实时监测预警与控制系统。首先基于PERCLO方法，构建驾驶员疲劳检测与分级模型；然后根据所输出的驾驶员疲劳等级信息，提出疲劳驾驶三级预警原理，及其预警实现方式；最后以疲劳预警信息为基础，形成基于驾驶员不同疲劳等级预警的安全控制技术，并对处于深度疲劳的危险驾驶行为，构建自动智能紧急控制停车系统，重点阐述系统的地形匹配、智能控制，以及自动驾驶与停车三大核心技术，并提出相应的系统硬件构成，为系统工程应用提供理论与技术支持。%To identify and control the fatigue driving behavior, and reduce the occurrence of traffic accident caused by fatigue driving, combining with fatigue detection grading technique, early warning technique and automatic intel-ligent control technique, a vehicle-mounted early warning and control system based on real-time fatigue driving mo-nitoring for car driver was proposed.Firstly, the fatigue detection and grading model was established based on PERCLOS method.Then the three-grading early warning theory and realization methods were put forward based on the output fatigue grading information of driver.At last, based on the fatigue early warning information, the safety control technique based on different fatigue grade early warning was put forward, and an automatic intelligent emer-gency control parking system was established aiming at the dangerous driving behavior of deep fatigue.Three core techniques of the system, including contour matching, intelligent control and automatic driving and parking, were mainly discussed, and the corresponding hardware constitution was presented to provide theoretical and technical support for engineering application.