Real time detection of driver attention: Emerging solutions based on robust iconic classifiers and dictionary of poses

Real time monitoring of driver attention by computer vision techniques is a key issue in the development of advanced driver assistance systems. While past work mostly focused on structured feature-based approaches, characterized by high computational requirements, emerging technologies based on iconic classifiers recently proved to be good candidates for the implementation of accurate and real-time solutions, characterized by simplicity and automatic fast training stages.In this work the combined use of binary classifiers and iconic data reduction, based on Sanger neural networks, is proposed, detailing critical aspects related to the application of this approach to the specific problem of driving assistance. In particular it is investigated the possibility of a simplified learning stage, based on a small dictionary of poses, that makes the system almost independent from the actual user.On-board experiments demonstrate the effectiveness of the approach, even in case of noise and adverse light conditions. Moreover the system proved unexpected robustness to various categories of users, including people with beard and eyeglasses. Temporal integration of classification results, together with a partial distinction among visual distraction and fatigue effects, make the proposed technology an excellent candidate for the exploration of adaptive and user-centered applications in the automotive field.     

先进驾驶辅助系统的接受程度及其影响因素分析

研究驾驶人对驾驶辅助系统(ADAS)的接受程度及其影响因素,有利于ADAS的推广和功能改善.招募46名被试,分2次驾驶未安装和安装有ADAS的车辆,行驶于武汉市典型道路各105km,并完成驾驶人基本信息和关于ADAS接受程度问卷.基于技术接受模型(TAM)分析驾驶人对ADAS的接受程度,应用方差分析方法研究驾驶人对ADAS接受程度的影响因素.结果表明,43名驾驶人对ADAS的接受程度均值为80.9%(SD=0.191);驾驶人的性别、年龄和驾驶经验对ADAS的接受程度没有显著性影响;ADAS类别对驾驶人的接受程度有显著性影响,驾驶人对于FCW系统的接受程度较高,而对LDW系统接受程度较低;道路类型对驾驶人的接受程度也有显著性影响,驾驶人在城市道路上对ADAS的接受程度最低.     

基于期望间距的车辆跟驰模型的建立

以“期望间距”为基准参理，考虑驾驶员的心理和生理因素，建立了车辆跟驰模型，为研究驾驶行为提供了一种新的思路。     

Windows 2000并口EPP模式驱动程序的设计与实现

Windows2000下，用户模式应用程序不能直接访问硬件设备，需要通过内核模式驱动程序实现。本文介绍PC机在Windows2000操作系统下，使用Nm9835芯片，完成并行端口EPP模式的数据和地址读写操作的WDM模型设备驱动程序的设计与实现过程，以及驱动程序与用户模式应用程序的通信机制。     

多语种驾驶人无纸化考试系统的设计与实现

介绍了一个基于Java Web和RMI技术的驾驶人学科无纸化考试系统的设计和实现方案。系统是针对一个城市存在多个无纸化考场的情况进行设计的，具有分布式的架构，在部署时可灵活地根据需要按集中式或分布式进行部署，系统又是一个具有多语种考试题库和考试界面，可方便地增加新的考试语种，适应了当前车管业务国际化的趋势。     

BEHAVIORAL TOXICOLOGICAL RESEARCHES ON AUTOMOBILE DRIVERS' DRIVING ACCIDENTS

Automobiledrivers'healthanddriv-ingaccldentinducedbythemispaidmoreattentiontowiththeincreasingusageofautom0bile-Andtheattentionshouldbefocusedondrivers'n0tonlysomaticbutals0psychol0gicalstateatpresent-Wemadetheresearchesonthedrivers'neu-robehavioralfunctionsinthisstudyapply-ingbehavi0ra1toxic0l0gy.SUBJECTSANDMETHODSl25automobiledriversweredividedintotwogr0ups,accidentRr0up(AG)in-cluding85driverswithaccidents(77males,8females)andnonaccldentgroup(NAG)including4Odriverswith0utacci-dents…     

高速机车司机心理选拔指标研究

目的从安全驾驶适应性方面研究高速机车司机应具备的心理素质。方法根据高速列车机车驾驶特性,提出心理选拔指标并应用于现场,通过现场对直达和特快机车司机的测量及应用从而确立高速机车司机应具备的心理素质指标。结果实验机车司机413名,年龄组在39岁以下和40岁以上机车司机有明显不同：39岁以下较40岁以上机车司机的作业能力和反应速度及注意分配、集中、转移等方面的能力均明显加快（P〈0.05,P〈0.01）;机车司机的认知能力受文化程度的影响（P〈0.01）,其中,四数和计算是初中与高中以上文化程度之间有极显著性差异（P〈0.01）,比较刻度、按规律检数是高中以下和大专之间存在着极显著性差异（P〈0.01）,即具备一定文化程度的机车司机其计算速度和操作技能都明显较好。指标间的相关矩阵分析存在极密切关系（r=0.16-0.59,P〈0.01）;同期效标检验各指标的相关效度为0.14-0.33（P〈0.05,P〈0.01）,组合分相关效度为0.315（P〈0.01）;验证预测合格符合率为91.96%,预测淘汰符合率为23.89%。     

减水剂与水泥适应性研究现状

减水剂与水泥的适应性是一个相当复杂的问题,即使它们都完全符合相关标准的规定,但同时作为配置混凝土的原材料时,就可能出现不适应的现象。为了在实际工程中得到更好的应用,文章从减水剂与水泥两方面讨论了影响它们之间适应性的因素,并提出改善适应性问题的措施。     

Optimal preview game theory approach to vehicle stability controller design

Dynamic game theory brings together different features that are keys to many situations in control design: optimisation behaviour, the presence of multiple agents/players, enduring consequences of decisions and robustness with respect to variability in the environment, etc. In the presented methodology, vehicle stability is represented by a cooperative dynamic/difference game such that its two agents (players), namely the driver and the direct yaw controller (DYC), are working together to provide more stability to the vehicle system. While the driver provides the steering wheel control, the DYC control algorithm is obtained by the Nash game theory to ensure optimal performance as well as robustness to disturbances. The common two-degrees-of-freedom vehicle-handling performance model is put into discrete form to develop the game equations of motion. To evaluate the developed control algorithm, CarSim with its built-in nonlinear vehicle model along with the Pacejka tire model is used. The control algorithm is evaluated for a lane change manoeuvre, and the optimal set of steering angle and corrective yaw moment is calculated and fed to the test vehicle. Simulation results show that the optimal preview control algorithm can significantly reduce lateral velocity, yaw rate, and roll angle, which all contribute to enhancing vehicle stability.     

Vehicle control synthesis using phase portraits of planar dynamics

ABSTRACT

Phase portraits provide control system designers strong graphical insight into nonlinear system dynamics. These plots readily display vehicle stability properties and map equilibrium point locations and movement to changing parameters and system inputs. This paper extends the usage of phase portraits in vehicle dynamics to control synthesis by illustrating the relationship between the boundaries of stable vehicle operation and the state derivative isoclines in the yaw rate–sideslip phase plane. Closed-loop phase portraits demonstrate the potential for augmenting a vehicle's open-loop dynamics through steering and braking. The paper concludes by applying phase portrait analysis to an envelope control algorithm for yaw stability and a sliding surface controller for stabilising a saddle point equilibrium in drifting.