1.
Research and Design of the System of Detecting Driving State for Motor Vehicle Drivers;
机动车驾驶员驾驶状态监控系统研究与设计
2.
Estimation of driver's driving state based on cloud model
基于云模型的驾驶员驾驶状态评估方法
3.
Design of the System for Supervising Driver Fatigue Based on Visual Information;
基于视觉信息的疲劳驾驶状态监测系统设计
4.
Study on the Driving Condition Supervision Based on the Multi-Sensor Information Fusion;
基于多传感器数据融合的驾驶状态监控研究
5.
Probability Model for Driver Attention State under High Driving Load
高负荷驾驶任务下驾驶员注意力状态概率模型
6.
Research of Driver s Fatigue State Detection Based on Video;
基于视频的驾驶员疲劳状态检测研究
7.
Research on the Recognizing Arithmetic of Fatigue Driving Based on the Physiologic Factor Analysis;
基于驾驶员生理特征分析的驾驶疲劳状态识别方法研究
8.
Study on the Recognition of Eye States in the Driver Drowsiness Detection System;
驾驶困倦预警系统中眼部状态识别技术的研究
9.
A PRELIMINARY STUDY OF THE RELIABILITY AND VALIDITY OF THE DRIVER PROFILE OF MOOD STATES;
驾驶员情绪状态量表信度与效度的初步研究
10.
Research on Driver's Fatigue Status Detection Technology and Realization in Engineering
驾驶员疲劳状态检测技术研究与工程实现
11.
Research of Driver's Fatigue State Detection Method Based on Video
基于视频的驾驶员疲劳状态检测方法研究
12.
Risk Identification for Driving Behaviors Based on Bayesian Discrimination
基于贝叶斯判别的驾驶行为危险状态辨识
13.
Study on the Monitoring Method for Driver s Fatigue and Distraction Based on Mouth State;
基于嘴部状态的疲劳驾驶和精神分散状态监测方法研究
14.
The Current Situation of Drink Driving in Nanning City
南宁市机动车驾驶员酒后驾驶现状调查
15.
Motorists expect cars to go at least 300 miles between fill-ups.
汽车驾驶总是希望车子在加满的状态下，至少可以飙到时速480公里。
16.
Based on Detecting Driver's Fatigue Status of Vehicle Active Safety;
基于汽车驾驶员疲劳状态监测技术的汽车主动安全系统研究
17.
A Study on Driver Distraction Detection Technology Based on Computer Vision
基于机器视觉的驾驶员注意力状态监测技术研究
18.
Driver Drowsiness Detection and Warning System Based on Multi-source Information Fusion
基于多源信息融合的驾驶人疲劳状态监测及预警方法研究