The invention relates to the field of intelligent fatigue driving detection, and provides a driver fatigue state real-time monitoring system and method based on multi-source data. Feature extraction is carried out on eye and mouth states in driver face data obtained by shooting of a camera to obtain real state features of a driver, and feature extraction is carried out on related information, collected by various sensors, of a vehicle driven by the driver to obtain vehicle driving features; and judging whether the driver has fatigue driving or not by combining the vehicle driving characteristics and the real state characteristics of the driver. Therefore, the fatigue state of the driver can be monitored in real time and accurately judged.
本申请涉及智能疲劳驾驶检测领域,提供了一种基于多源数据的驾驶员疲劳状态实时监测系统及方法,其采用基于深度学习的数据处理技术,通过对摄像头拍摄获取的驾驶员面部数据中眼睛和嘴巴状态进行特征提取以得到驾驶员真实状态特征,同时通过对各种传感器采集到的驾驶员驾驶车辆的相关信息进行特征提取以得到车辆行驶特征,结合车辆行驶特征和驾驶员真实状态特征从而来判断驾驶员是否存在疲劳驾驶。这样,可以实现对驾驶员疲劳状态的实时监测和准确判断。
Driver fatigue state real-time monitoring system and method based on multi-source data
基于多源数据的驾驶员疲劳状态实时监测系统及方法
2024-12-10
Patent
Electronic Resource
Chinese
IPC: | B60W CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION , Gemeinsame Steuerung oder Regelung von Fahrzeug-Unteraggregaten verschiedenen Typs oder verschiedener Funktion |
A real-time system for monitoring driver fatigue
Online Contents | 2016
|A real-time system for monitoring driver fatigue
Taylor & Francis Verlag | 2016
|Real time and non-intrusive driver fatigue monitoring
IEEE | 2004
|Real-time Driver Fatigue Detection System
Tema Archive | 2014
|