人机协同下的车道偏离辅助驾驶关键技术研究
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摘要
随着社会的进步和经济的发展,汽车已成为人类生活不可缺少的一部分。汽车为人类文明进步和社会经济发展做出巨大贡献的同时,汽车事故也呈上升趋势。道路交通安全已成为全球性的社会问题,提高车辆安全性成为研究热点。论文以车道偏离辅助驾驶系统为研究对象,对其中部分关键技术进行了研究。
     本文研究了车道偏离辅助驾驶决策机制,从主客观方面对车道偏离预警人机接口进行评价,研究了车道偏离辅助控制方法,建立了车道偏离预警与辅助控制的快速原型试验台,通过快速原型对比试验及驾驶员在环台架试验对本文所提出的方法进行验证。
     提出了基于动态TLC阈值的车道偏离联合决策机制。针对传统TLC决策模型因固定的触发阈值可能导致误警/误干预或漏警/漏干预的问题,综合考虑车路航向角偏差、路面附着系数、车速及执行机构响应时间等对车辆姿态校正过程的影响,建立了动态TLC阈值的计算模型。决策机制自动调节预警和辅助控制的触发时机,避免过早介入对驾驶员产生不必要的干扰,同时避免过晚介入导致偏离车道。从感知—决策—执行的层次角度出发,建立了人机协同的车道偏离辅助系统的控制体系结构。研究驾驶员优先决策下的预警—辅助控制的人机协同决策模型及其实现方法。在Carsim/simulink联合仿真平台上验证了基于动态TLC阈值的车道偏离辅助驾驶决策方法有效性和正确性。
     设计了车道偏离预警人机接口的主客观评价指标和评价方法,基于自主研制的驾驶模拟器进行了车道偏离预警对比试验,获得了车道偏离预警的较优人机接口方式。针对现有的研究专注于各种预警人机接口的预警效果忽略驾驶员主观感受的不足,进行车道偏离预警台架试验,根据提出的主客观指标评价系统,采用统计方法系统分析了驾驶员对听觉、视觉和触觉等预警人机接口方式的敏感程度及可接受度。获得较优的车道偏离预警人机接口方式。通过台架试验进一步分析触觉预警的波形、幅值和频率等参数对预警效果及可接受度的影响,给出了改善触觉预警效果及可接受度的有效途径。
     根据分层控制思想,研究了基于差动制动的车道偏离辅助控制方法。在辅助驾驶决策的基础上,基于预瞄点处的车-路偏差、车辆状态和道路附着限制计算期望的横摆响应,设计滑模控制器控制辅助横摆力矩,通过差动制动产生横摆力矩,使车辆横摆响应跟踪目标值,达到车道偏离辅助控制的目的。提出了轮缸压力闭环控制和滑移率均衡方法实现横摆力矩伺服控制。在轮缸压力闭环控制方法中,分别采用制动力定比例分配方法与考虑轮胎工作状态的制动力最优控制分配。在滑移率均衡控制方法中,提出等效前轮滑移率的概念,根据期望横摆力矩及横摆角速度偏差选取制动轮,根据等效前轮滑移率和后轮滑移率提出了滑移率均衡策略,进行制动力次优分配。采用模糊控制器设计底层伺服,产生辅助横摆力矩,达到使车辆横摆响应跟踪期望值的目的。在Carsim/simulink联合仿真平台上对基于差动制动的车道偏离辅助控制方法进行仿真试验,研究结果表明所提出方法将车辆限制在车道范围内,有效避免车道偏离事故发生。
     建立了由CarsimRT/LabviewRT实时平台及转向、制动执行机构硬件组成的车道偏离辅助驾驶系统快速原型试验台架,对基于差动制动的辅助控制方法进行台架试验,其结果与Carsim/simulink联合仿真结果基本一致。各种工况的台架试验表明,采用动态TLC阈值能适时触发预警与辅助控制,基于控制分配算法的制动力分配方法具有更好的鲁棒性。滑移率均衡方法较压力闭环方法控制粗糙,但对控制对象模型参数适应性好,无需额外传感器且简单可靠。
     本文的创新点如下:
     (1)提出基于动态TLC阈值的车道偏离联合决策机制,该决策机制能根据车路航向角偏差、路面附着及执行机构响应等进行动态决策,适时触发预警与辅助控制。
     (2)基于台架试验,研究得出满足车道偏离预警效果且易被驾驶员接受的较优预警人机接口方式及改善途径。
     (3)设计了基于传统ABS/ESP系统实施差动制动的两种伺服控制方法,实现车道偏离时的车辆纵横向控制。具有对驾驶员的干扰小、人机协同策略简单、可靠性高、工程实用和低成本的特点。
With the development of society and economy, vehicles have become an indispensable part of human life. Although vehicles make a significant contribution to the progress of human civilization and socio-economic, vehicle accidents are on the rise. Therefore, road traffic safety has become a global social problem. How to improve vehicle safety is currently a research hotspot. This paper focused on the lane departure assistance system(LDAS), and studied the key technologies of LDAS.
     A new strategy for the decision of lane departure avoidance was proposed. The performance of lane departure warning techniques was evaluated with the consideration of all kinds of objective and subjective factors. A novel approach for lane departure avoidance was presented, which applies additional yaw moment to the vehicle to correct lane departure of the vehicle by means of differential braking. A rapid prototyping test platform with the function of lane departure warning and assistance control was established. The proposed methods were validated on the platform and driver-in-loop test.
     The main contents of this paper are as follows:
     (1) A new strategy for the joint-decision of lane departure avoidance, which is based on the dynamic threshold of Time to Lane Crossing (TLC) was presented. Fixed threshold may lead to false alarm or missed alarm, even false intervention or missed intervention. A model of the dynamic threshold of TLC was proposed, which is calculated by vehicle-lane heading, vehicle speed, road adhesion and reaction time of the implementing agencies and driver in real-time. Too early intervention may produce unnecessary interference to the driver, while too late intervention may lead to lane departure. The proposed decision strategy can adjust the threshold for warning and control. A human-machine cooperation control architecture was proposed with the consideration of perception, decision-making and execution. The proposed strategy was validated in a Carsim/Simulink co-simulation platform.
     (2) Objective and subjective assessment criteria for lane departure warning were designed. A series of lane departure warning experiments were conducted based on a more realistic fixed-based driving simulator. In previous studies, researchers placed more emphases on the efficiency of warning system instead of driver's subjective feeling. In this study, subjective and objective evaluation indexes were proposed. Effectiveness and drivers’ acceptance of seven types of warning techniques were further studied through a series of in-door experiments. Statistical methods were used to systematically analyze drivers’ sensitive to the auditory, visual and haptic warning technologies. A solution of warning technique to improve the effectiveness and acceptance was brought forward. The effects of pattern, amplitude and frequency of haptic warning on the effectiveness and drivers’ acceptance were studied through another series of in-door experiments. A method to improve the performance and drivers’ acceptance of haptic warning was put forward.
     (3) A novel approach for lane departure avoidance was proposed, which applies additional yaw moment to the vehicle to correct lane departure of the vehicle by means of differential braking. The desired yaw rate is determined by considering vehicle-lane deviation, vehicle dynamic and limitation of road adhesion. A sliding mode controller (SMC) was designed to control the additional yaw moment. The yaw moment is produced by the distribution of brake forces between the same side brakes, and lane departure avoidance is carried out by tracking the desired yaw response. In order to produce the additional yaw moment, a brake pressure close-loop control and a slip ratio balance servo control methods were presented. In terms of pressure close-loop control, fixed ratio and control allocation were used as the assignment methods for braking force distribution respectively. In terms of slip ratio balance control, a concept of equivalent slip ratio was put forward. The selection of the brake wheels is according to the additional yaw moment and yaw rate deviation. A new strategy for the balance of the equivalent slip ratio and rear wheel slip ratio was presented. The brake force is distributed in suboptimal. Two fuzzy controllers were designed to produce the additional yaw moment, and lane departure avoidance was carried out by tracking the desired yaw response. The proposed Lane departure avoidance method was evaluated in Carsim/simulink. Simulation results show that the proposed methods can restrict vehicle into the lane range and avoid lane departure accident.
     (4) A rapid prototyping test platform for lane departure driving assistance system was established, which is composed of CarsimRT/LabviewRT real-time platform, real steering and braking system. The methods, which were proposed in this study, are validated on the platform. The test results are conisistent with the simulation results. Several conclusions are obtained from various driving conditions. Dynamic TLC threshold can timely trigger warning and control. Brake force distribution method based on control allocation has better robustness. The slip ratio balance method has a good adaptability to the model parameters, although the control results are rougher than the braking pressure close-loop control method. The slip ratio balance method doesn’t need any additional cost, and is simple and reliable.
     The innovations of this paper are as follows:
     (1) A model of the dynamic threshold of TLC was presented, which is calculated by vehicle-lane heading, vehicle speed, road adhesion and reaction time of the implementing agencies and driver in real-time. The dynamic TLC threshold can trigger warning and control more timely.
     (2) Based on the in-door experiments, a solution of warning technique to improve the effectiveness and acceptance was brought forward.
     (3) A novel approach for lane departure avoidance was studied and designed, which applies additional yaw moment to the vehicle to correct lane departure of the vehicle by means of differential braking. The proposed control method has the following characteristics: less interference to driver, simple strategy of human-machine cooperate control, high reliability, practical and low cost.
引文
[1]中国行业研究网.2012年中国机动车保有量情况调查分析.http://www.chinairn.com/news/20120719/187237.html,2012-7-19
    [2]网易汽车.中国历年交通事故死亡人数官方统计.http://auto.163.com/10/0709/10/6B53JH6B000816HJ.html,2010-7-9
    [3]新浪网.我国每年道路交通事故伤亡人数超20万.http://news.sina.com.cn/c/2013-08-30/133628090263.shtml,2013-8-30
    [4]刘东,马社强,牛学军.我国高速公路交通事故特点分析.中国人民公安大学学报(自然科学版),2008,24(4):65-68
    [5]陈晨,高嵩,吴超仲,等.我国高速公路交通安全现状及对策研究.交通信息与安全,2011,59(1):59-63
    [6]常宇,王长君.我国高速公路交通事故特征分析.中国安全生产科学技术,2008,4(5):155-158
    [7] Royal D. National survey of distracted and drowsy driving attitudes andbehaviors:2002,809566. Washington: National Highway Traffic SafetyAdministration,2003.
    [8]余天洪.基于机器视觉的车道偏离预警系统研究:[吉林大学博士学位论文].长春:吉林大学,2006,2-3
    [9] Emery L,Srinivasan G,Bezzina D,et al.Status report on USDOT project ‘Anintelligent vehicle initiative road departure crash warning field operationaltest’.In:Proc of19th International Technical Conference on the Enhanced Safetyof Vehicles.Washington,2005,1-13
    [10] Deroo M,Hoc J M,Mars F.Effect of strength and direction of haptic cueing onsteering control during near lane departure.Transportation research part F: trafficpsychology and behaviour,2013,16:92-103
    [11] Lane Departure Warning System Now Available on Mercedes Trucks inEurope.http://www.ivsource.com
    [12] Emery L,Daniel S,Hertz E,et al.Preliminary safety benefits for road departurecrash avoidance systems. In: Proc of4th World Congress on IntelligentTransportation Systems.Berlin,1997,1-8
    [13] Zhang Y,Li W,Wang X,et al.General design of vehicle safety assistant systembased on machine vision and electronic control steering.In:2010InternationalConference on Computer Design and Applications (ICCDA). Qinhuangdao,2010,20-23
    [14] Kusano K D,Gabler H C.Field relevance of the new car assessment programlane departure warning confirmation test. SAE Int J Passeng Cars-MechSyst,2012,5(1):253-264
    [15] Fardi B,Scheunert U,Cramer H,et al.A new approach for lane departureidentification.In:Proc of the2003IEEE Conference on Intelligent VehiclesSymposium.Columbus,2003,100-105
    [16] Chapuis R,Laneurit J,Aufrere R,et al.Accurate vision based road tracker.In:Proc of the2002IEEE Conference on Intelligent Vehicle Symposium.NewYork,2002,666-671
    [17] Rohr S N,Lind R C,Myers R J,et al.An integrated approach to automotivesafety systems.SAE transactions,2000,109(6):453-459
    [18] Trivedi M M,Gandhi T,McCall J.Looking-in and looking-out of a vehicle:Computer-vision-based enhanced vehicle safety. IEEE Transactions onIntelligent Transportation Systems,2007,8(1):108-120
    [19] Just-auto. USA: Iteris's Video-based Lane Departure Warning System NowAvailable to OEM Market.http://www.just-auto.com/news/iteriss-video-based-lane-departure-warning-system-now-available-to-oem-market_id77003.aspx,2000-6-7
    [20] Chen M,Jochem T,Pomerleau D.AURORA:A vision-based roadway departurewarning system.In:Proc of the Inational Conference on Intelligent Robots andSystems.Pittsburgh,1995,243-248
    [21] Dagan E,Mano O,Stein G P,et al.Forward collision warning with a singlecamera.In:Proc of IEEE Intelligent Vehicles Symposium.Dearborn,2004,37-42
    [22]仝光,李虎,郑文成.车道偏离预警系统研究概述.汽车与配件,2009,18(5):26-27
    [23] Nissan中国.车道偏离警报系统.http://www.nissan.com.cn/technology/safety/ldw/
    [24]爱卡汽车网.舒心安逸详解高速实用配置与车型推荐.http://newcar.xcar.com.cn/201101/news_190628_2.html,2011-1-31
    [25] General Motor.Cadillac XTS Safety Seat Alerts Drivers to Dangers.http://med-ia.gm.com/media/us/en/cadillac/news.detail.html/content/Pages/news/us/en/2012/Mar/0327_cadillac_safety.html,2012-3-27
    [26] Ford.Accident Avoidance and Driver Assist Technologies.http://corporate.ford.com/microsites/sustainability-report-2012-13/vehicle-technologies-avoidance,2012-6-13
    [27] Audi.Audi Lane assist.http://www.audi.com/com/brand/en/tools/advice/-gloss-ary/-audi_lane_assist.browser.html,2011-3-10
    [28] BMW.BMW技术指南:车道偏离报警系统.http://www.bmw.com.cn/cn/zh/insi-ghts/technology/technology_guide/articles/lane_departure_warning.html?source=categories&article=lane_departure_warning,2013-1-27
    [29] Daimler.Lane Keeping Assist: Steering Wheel vibrates to warn the driver ifthecar leaves its lane unintentionally.http://media.daimler.com/dcmedia/0-921-614216-1-1147529-1-0-0-0-0-0-11702-0-0-1-0-0-0-0-0.html,2009-2-1
    [30] CNET.Toyota Lane Keep Assist (LKA).http://reviews.cnet.com/2300-10863_7-10002833-7.html,2010-3-17
    [31] Honda.Honda Announces a Full Model Change for the Inspire.http://world.hon-da.com/news/2003/4030618_2.html,2003-6-18
    [32] Nissan中国.车道偏离防止辅助系统.http://www.nissan.com.cn/technology/safety/ldp/
    [33] ABI Research.Lane Departure Warning Systems Go Mainstream:$14.3BillionMarket by2016. https://www.abiresearch.com/press/lane-departure-warning-systems-go-mainstream-143-b,2011-2-11
    [34]程洪,郑南宁,高振海,等.基于主元神经网络和K-均值的道路识别算法.西安交通大学学报,2003,37(8):812-815
    [35]苏开娜,任文君,易小琳,等.基于运动模型的道路识别与跟踪算法的研究.中国图象图形学报,2000,5(3):226-231
    [36]廖传锦,黄席樾,柴毅,等.基于边缘提取和特征跟踪的道路检测算法.重庆大学学报(自然科学版),2002,25(1):61-64
    [37]刘化胜.智能车辆视觉导航中道路检测算法的研究:[南京航空航天大学硕士学位论文].南京:南京航空航天大学大学,2004
    [38]余厚云,张为公.基于摄像机模型的运动车辆车道偏离检测.东南大学学报(自然科学版),2009,39(5):933-936
    [39]于兵,张为公,龚宗洋.基于机器视觉的车道偏离报警系统.东南大学学报(自然科学版),2009,39(5):928-932
    [40] Godthelp H,Milgram P,Blaauw G J.The development of a time-related measureto describe driving strategy.Human Factors,1984,26(3):257-268
    [41] Lin C F,Ulsoy A G.Time to lane crossing calculation and characterization of itsassociated uncertainty.Journal of Intelligent Transportation Systems,1996,3(2):85-98.
    [42] Van Winsum W,Brookhuis K A,de Waard D.A comparison of different ways toapproximate time-to-line crossing (TLC) during car driving.Accident Analysis&Prevention,2000,32(1):47-56
    [43] Mammar S,Glaser S,Netto M.Time to line crossing for lane departureavoidance:A theoretical study and an experimental setting.IEEE Transactions onIntelligent Transportation Systems,2006,7(2):226-241
    [44] Chang T H,Hsu C S,Wang C,et al.Onboard measurement and warning modulefor irregular vehicle behavior.IEEE Transactions on Intelligent TransportationSystems,2008,9(3):501-513
    [45] Glaser S,Mammar S,Sentouh C.Integrated Driver-Vehicle-Infrastructure RoadDeparture Warning Unit. IEEE Transactions on Vehicular Technology,2010,59(6):2757-2771
    [46] Friedrichs F,Yang B.Drowsiness monitoring by steering and lane data basedfeatures under real driving conditions. In: Proc of18th European SignalProcessing.Alborg,2010,209-213
    [47] Falcone P,Ali M,Sjoberg J.Predictive threat assessment via reachabilityanalysis and set invariance theory. IEEE Transactions on IntelligentTransportation Systems,2011,12(4):1352-1361
    [48] Wang Y,Fu J,An X,et al.On the quantitative assessment of the Lane DepartureWarning System based on road scenes simulator.In:Proc of the InternationalConference on Machine Learning and Cybernetics.Xi’an2012,941-948
    [49] Tian E,Sun J.Adaptive Driver Characteristics Lateral Warning Algorithm.In:Proc of the3rd International Conference on Transportation Engineering.Cheng-du,2011,7-12
    [50] Li X,Seignez E,Loonis P,et al.Vision-based estimation of driving inattentionfused via Dempster-Shafer theory.In:2012IEEE International Conference onCyber Technology in Automation, Control, and Intelligent Systems.Bangkok,2012,393-398
    [51] Li X, Seignez E, Loonis P. Reliability-based driver drowsiness detection usingDempster-Shafer theory.In: Proc of12th International Conference on ControlAutomation Robotics&Vision (ICARCV).Guangzhou,2012,1059-1064
    [52] Nalla P,Goud G C L A,Padmaja V.Accident avoiding system using lanedetection.IJRECE,2013,1(1):01-04
    [53] Risack R,Mohler N,Enkelmann W.A video-based lane keeping assistant.In:Proc of the2000IEEE Conference on Intelligent Vehicles Symposium.Dearborn,2000,356-361
    [54] Enkelmann W. Video-Based Driver Assistance-From Basic Functions toApplications.International Journal of Computer Vision,2001,45(3):201-221.
    [55] Batavia P H. Driver-adaptive lane departure warning systems:[Doctoraldissertation].Pittsburgh:Carnegie Mellon University,1999
    [56] Kwon W,Lee J W,Shin D,et al.Experiments on decision making strategies fora lane departure warning system. In: Proc of1999IEEE InternationalConference on Robotics and Automation.Detroit,1999,2596-2601
    [57] Lee S,Kwon W,Lee J W.A vision based lane departure warning system.In:Proc of1999IEEE/RSJ International Conference on Intelligent Robots andSystems.Kyongju,1999,160-165
    [58] Jung C R,Kelber C R.A lane departure warning system using lateral offset withuncalibrated camera. In: Proc of2005IEEE Intelligent TransportationSystems.Vienna,2005,102-107
    [59] Liu X.Development of a vision-based object detection and recognition systemfor intelligent vehicle,99-82211.Madison:University of Wisconsin,2000
    [60]毕雁冰,管欣.基于稳态预瞄理论的一种车道偏离评价方法.中国机械工程,2007,18(16):2005-2008
    [61]管欣,高振海,郭孔辉.汽车预期轨迹驾驶员模糊决策模型及典型路况仿真.汽车工程,2001,23(1):13-17
    [62]王荣本,余天洪,郭烈,等.基于机器视觉的车道偏离警告系统研究综述.汽车工程,2005,27(4):463-466
    [63]张立存.汽车驾驶员控制行为统一决策模型的研究:[吉林大学博士学位论文].长春:吉林大学,2007
    [64]陈军.基于DSP的高速公路车道偏离报警系统研究:[天津大学博士学位论文].天津:天津大学,2010,1-77
    [65]王庆贺.车道偏离预警系统决策算法及性能测试方法研究:[吉林大学硕士学位论文].长春:吉林大学,2011
    [66] Nor N M,Wahab A.Driver identification and driver's emotion verification usingKDE and MLP neural networks.In:Proc of2010International Conference onInformation and Communication Technology for the Muslim World(ICT4M).Jakarta,2010,E96-101
    [67] Rimini-Doering M,Altmueller T,Ladstaetter U,et al.Effects of lane departurewarning on drowsy drivers’ performance and state in a simulator.In:Proc of theThird International Driving Symposium on Human Factors in Driver Assessment,Training, and Vehicle Design.Iowa,2005,88-95
    [68] Ho C,Spence C,Tan H Z.Warning signals go multisensory.In:Proc of HCIInternational.Las Vegas,2005,1-10
    [69] Kozak K,Pohl J,Birk W,et al.Evaluation of lane departure warnings for drowsydrivers.Proceedings of the Human Factors and Ergonomics Society AnnualMeeting,2006,50(22):2400-2404
    [70] Ro meier M,Grabsch H P,Rimini-D ring M.Blind flight:Do auditory lanedeparture warnings attract attention or actually guide action.In:Proc of11thMeeting of the International Conference on Auditory Display.Limerick,2005.273-283
    [71] Onimaru S, Kitazaki M. Visual and tactile information to improve drivers'performance. In: Proc of2010IEEE Virtual Reality Conference(VR).Washington,2010,295-296
    [72] Auvray M,Gallace A,Hartcher-O'Brien J,et al.Tactile and visual distractorsinduce change blindness for tactile stimuli presented on the fingertips.BrainResearch,2008,12(13):111-119
    [73] Gescheider G A, NIBLETTE R K. Cross-modality masking for touch andhearing.Journal of Experimental Psychology,1967,74(3):313
    [74] Brown R L,Galloway W D,Gildersleeve K R.Effects of intense noise onprocessing of cutaneous information of varying complexity. Perceptual andMotor Skills,1965,20(3):749-754
    [75] Kozak K,Pohl J,Birk W,et al.Evaluation of lane departure warnings for drowsydrivers.Proceedings of the Human Factors and Ergonomics Society AnnualMeeting, Sage Publications,2006,50(22):2400-2404
    [76] Hwang S,Ryu J.The Haptic steering Wheel: Vibro-tactile based navigation forthe driving environment. In:20108th IEEE International Conference onPervasive Computing and Communications Workshops.Mannheim,2010,660-665
    [77] Kim H, Seo C, Lee J, et al. Vibrotactile display for driving safetyinformation. In: Proc of2006IEEE Intelligent Transportation SystemsConference.Toronto,2006,573-577
    [78] Montiglio M,Martini S,Murdocco V.Development of a lane keeping supportsystem for heavy-trucks.In:Proc of the13th ITS World Congress.London,2006
    [79] Enriquez M,Afonin O,Yager B,et al.A pneumatic tactile alerting system forthe driving environment.In:Proc of the2001workshop on Perceptive userinterfaces. ACM.New York,2001,1-7
    [80] Brandt T,Sattel T,Bohm M.Combining haptic human-machine interaction withpredictive path planning for lane-keeping and collision avoidance systems.In:Proc of the2007IEEE Intelligent Vehicles Symposium, Istanbul,2007,582-587
    [81] Hoc J M,El Jaafari M,Forzy J F,et al.User acceptance and effectiveness ofwarning and motor priming assistance devices in car driving. In: Proc ofEuropean conference on human centred design for intelligent transport systems.Lyon,2008,311
    [82] De Rosario H,Louredo M,Díaz I,et al.Efficacy and feeling of a vibrotactileFrontal Collision Warning implemented in a haptic pedal. TransportationResearch Part F:Traffic Psychology and Behaviour,2010,13(2):80-91
    [83] Ho C,Reed N,Spence C.Multisensory in-car warning signals for collisionavoidance.Human Factors,2007,49(6):1107-1114
    [84] Spence C, Ho C. Tactile and multisensory spatial warning signals fordrivers.IEEE Transactions on Haptics,2008,1(2):121-129
    [85] Beruscha F,Wang L,Augsburg K,et al.Do drivers steer toward or away fromlateral directional vibrations at the steering wheel.In:Proc of2nd EuropeanConference on Human Centred Design for Intelligent TransportSystems.Valencia,2010,227-236
    [86] Kern D,Marshall P,Hornecker E,et al.Enhancing navigation information withtactile output embedded into the steering whee. Berlin Heidelberg:Springer,2009,42-58
    [87] Navarro J,Mars F,Forzy J F,et al.Objective and subjective evaluation of motorpriming and warning systems applied to lateral control assistance.AccidentAnalysis&Prevention,2010,42(3):904-912
    [88] Motoyama S,Ohta T,Watanabe T, et al.Development of lane departure warningsystem.In:Proc of7th ITS World Congress.Turin,2000,1-8
    [89] Suzuki K,Jansson H.An analysis of driver’s steering behaviour during auditoryor haptic warnings for the designing of lane departure warning system.JSAEReview,2003,24(1):65-70
    [90] Rothe S. Driver warning system Sudden sleep warning system. VDIBerichte,1995,1188:341-341
    [91] Navarro J,Mars F,Hoc J M,et al.A comparison of warning and motor primingassistance system for lateral control in car driving. In: Proc of the DSC2006.Paris,2006
    [92] Navarro J,Mars F,Hoc J M.Lateral control assistance for car drivers: acomparison of motor priming and warning systems.Human Factors,2007,49(5):950-960
    [93] Deroo M,Hoc J M,Mars F.Influence of risk expectation on haptically cuedcorrective manoeuvres during near lane departure.Ergonomics,2012,55(4):465-475
    [94] Cerone V,Milanese M,Regruto D.Combined automatic lane-keeping anddriver's steering through a2-DOF control strategy.IEEE Transactions on ControlSystems Technology,2009,17(1):135-142
    [95] Kang J,Hindiyeh R Y,Moon S,et al.Design and testing of a controller forautonomous vehicle path tracking using GPS/INS sensors.In:Proc of the17thIFAC World Congress.Seou,2008,6-11
    [96] Marino R,Scalzi S,Netto M.Nested PID steering control for lane keeping inautonomous vehicles.Control Engineering Practice,2011,19(12):1459-1467
    [97] Enache N M,Netto M,Mammar S,et al.Driver steering assistance for lanedeparture avoidance.Control Engineering Practice,2009,17(6):642-651
    [98] Enache N M, Mammar S, Netto M, et al. Driver steering assistance forlane-departure avoidance based on hybrid automata and composite Lyapunovfunction.IEEE Transactions on Intelligent Transportation Systems,2010,11(1):28-39
    [99] Enache N M,Sebsadji Y,Mammar S,et al.Driver's influence on the performanceof an integrated lane departure avoidance and lane keeping assistance system.In:Proc of the2009IEEE Control Applications,(CCA)&IntelligentControl,(ISIC).St. Petersburg,2009,119-124
    [100] Switkes J P,Rossetter E J,Coe I A,et al.Hand wheel force feedback for lanekeeping assistance: combined dynamics and stability. Journal of DynamicSystems, Measurement, and Control,2006,128(3):532-542
    [101] Rossetter E J,Switkes J P,Gerdes J C.A gentle nudge towards safety:Experimental validation of the potential field driver assistance system.In:Procof the2003American Control Conference.Denver,2003,3744-3749
    [102] Satoh S,Mouri H,Kawazoe H.Research on lane-tracking control.NissanMotor Co., Ltd,2000
    [103] Shimakage M,Satoh S,Uenuma K,et al.Design of lane-keeping control withsteering torque input.JSAE Review,2002,23(3):317-323
    [104] Raharijaona T,Duc G,Mammar S.Robust Control and μ-analysis withapplication to Lateral Driving Assistance.In:Proc of the2003IEEE IntelligentTransportation Systems.Shanghai,2003,247-252
    [105] Raharijaona T,Duc G,Mammar S.H∞Controller Synthesis and Analysiswith Application to Lateral Driving Assistance.In:Proc of the IFAC Symposiumon Advance in Automotive Control.Salerno,2004
    [106] Raharijaona T,Chevrel P,Duc G.Reduced order gain scheduled H-infinitycontrol design for lateral driving assistance.In:Proc of2005IEEE Conferenceon Control Applications.Tornoto,2005,233-238
    [107] Raharijaona M T,Duc M G,Mammar M S.Linear parameter-varying controland H-infinity synthesis dedicated to lateral driving assistance.In:Proc of the2004IEEE Conference on Intelligent Vehicles Symposium.Parma,2004,407-412
    [108]张海林,罗禹贡,江青云,等.基于电动助力转向的车道保持系统.汽车工程,2013,35(6):526-531
    [109]张海林.基于电动转向的车道保持系统:[清华大学硕士学位论文].北京:清华大学,2012
    [110] Liu J F,Wu J H,Su Y F.Development of an interactive lane keeping controlsystem for vehicle.In:Proc of the2007IEEE Conference on Vehicle Power andPropulsion.Arlington,2007,702-706
    [111] Pilutti T, Ulsoy G, Hrovat D. Vehicle steering intervention throughdifferential braking. In: Proc of the1995American ControlConference.Washington,1995,1667-1671
    [112] LeBlanc D J,Johnson G E,Paul J T,et al.CAPC:A Road-DeparturePrevention System.IEEE Control System,1996,16(6):61-71
    [113] LeBlanc D J,Venhovens P J T,Lin C F,et al.A warning and interventionsystem to prevent road-departure accidents.Vehicle System Dynamics,1996,25(S1):383-396
    [114] LeBlanc D J,Johnson G E,Venhovens P J T,et al.CAPC: An implementationof a road-departure warning system.In:Proc of the1996IEEE InternationalConference on Control Applications.Dearborn,1996,590-595
    [115] Lee J,Yi K.Coordinated control of steering torque and differential brakingfor vehicle lane departure avoidance.In:Proc of the2010Korean Society ofAutomotive Engineers. Yongpyeong,2010,1194-1201
    [116] Lee J, Yi K. Development of a combined steering torque overlay anddifferential braking strategy for unintended lane departure avoidance.In:Proc ofthe201114th International IEEE Conference on Intelligent TransportationSystems (ITSC).Washington,2011,1223-1230
    [117] Braitman K A,McCartt A T,Zuby D S,et al.Volvo and Infiniti drivers’experiences with select crash avoidance technologies.Traffic Injury Prevention,2010,11(3):270-278
    [118] Zhao C, Xiang W, Richardson P. Vehicle lateral control and yaw stabilitycontrol through differential braking.In:Proc of the2006IEEE InternationalSymposium on Industrial Electronics.Montreal,2006,384-389
    [119] Raksincharoensak P,Nagai M,Shino M.Lane keeping control strategy withdirect yaw moment control input by considering dynamics of electricvehicle.Vehicle System Dynamics,2006,44(S1):192-201
    [120] Raksincharoensak P,Shino M,Nagai M.Motion control of micro-scaleelectric vehicle by DYC considering lane marker information.In:Proc of the8thIEEE International Workshop on Advanced Motion Control.Kawasaki,2004:47-52
    [121] Raksincharoensak P,Mizushima T,Nagai M.Direct yaw moment controlsystem based on driver behaviour recognition.Vehicle System Dynamics,2008,46(S1):911-921
    [122] Mizushima T,Raksincharoensak P,Nagai M.Direct yaw-moment controladapted to driver behavior recognition. In: Proc of the International JointConference on SICE-ICASE.Busan,2006,534-539
    [123] Dai X,Kummert A,Park S B,et al.A warning algorithm for Lane DepartureWarning system.In:Proc of the2009IEEE Conference on Intelligent VehiclesSymposium.Xi’an,2009,431-435
    [124]李青,郑南宁,张雪涛,等.车载摄像机的一种简易标定方法.机器人,2003,25(7):626-630
    [125]余志生,夏群生.汽车理论.北京:机械工业出版社,2009,138-139
    [126]李百川,殷国祥,苏如玉.汽车驾驶员反应特性与交通事故关系的分析研究.人类工效学,1995,1(2):26-31
    [127] Rosey F,Auberlet J M,Bertrand J,et al.Impact of perceptual treatments onlateral control during driving on crest vertical curves: a driving simulatorstudy.Accident Analysis&Prevention,2008,40(4):1513-1523
    [128] Stanley L M. Haptic and auditory interfaces as a collision avoidancetechnique during roadway departures and driver perception of these modalities:
    [doctoral dissertation].Montana:Montana State University,2006
    [129] Brookhuis K A, Waard D D, Fairclough S H. Criteria for driverimpairment.Ergonomics,2003,46(5):433-445
    [130] Van Der Horst R.Occlusion as a measure for visual workload:an overview ofTNO occlusion research in car driving.Applied Ergonomics,2004,35(3):189-196
    [131] Torkkola K,Massey N,Wood C.Detecting driver inattention in the absenceof driver monitoring sensors.In:Proc of the2004IEEE International Conferenceon Machine Learning and Applications.Louisville,2004,220-226
    [132] Tijerina L,Ho A,Cummings M L,et al.Integrating intelligent driver warningsystems: effects of multiple alarms and distraction on driver performance.In:Proc of the85th Annual Meeting of Transportation ResearchBoard.Washington,2006,(06-1867)
    [133] Denoual T,Mars F,Petiot J F,et al.Drivers' perception of loss of adherencein bends:influence of motion rendering.Transactions of the ASME-S-ComputingandInfor Science in Engin,2011,11(4):041004
    [134]郭孔辉.汽车操纵动力学.长春:吉林科学技术出版社,1991,499-503
    [135] Rajesh R.Vehicle Dynamics and Control.New York:Springer,2011
    [136]夏元清,付梦印,邓志红,等.滑模控制和自抗扰控制的研究进展.控制理论与应用,2013,30(2):137-147
    [137]刘波,张玘,罗飞路,等.汽车防抱制动系统自适应滑模控制算法的研究和半实物仿真.国防科技大学学报,2008,30(5):125-130
    [138] Bartoszewicz A,Patton R J.Sliding mode control.International Journal ofAdaptive Control and Signal Processing,2007,21(8):635-637
    [139] Yim S J,Park Y,Yi K.Design of active suspension and electronic stabilityprogram for rollover prevention.International Journal of Automotive Technology,2010,11(2):147-153
    [140] Yi K,Chung T Y,Kim J,et al.An investigation into differential brakingstrategies for vehicle stability control. Proceedings of the Institution ofMechanical Engineers Part D:Journal of Automobile Engineering,2003,11(2):147-153
    [141] Gillespie T D. Fundamentals of vehicle dynamics. Warrendate: SAEInternational,1992
    [142]熊璐,余卓平,姜炜,等.基于纵向力分配的轮边驱动电动汽车稳定性控制.同济大学学报(自然科学版),2010,38(3):417-421
    [143]蒋造云.四驱电动汽车稳定性控制纵向力分配算法研究:[同济大学硕士学位论文].上海:同济大学汽车学院,2008
    [144]李道飞.基于轮胎力最优分配的车辆动力学集成控制研究:[上海交通大学博士学位论文].上海:上海交通大学机械与动力学院,2008
    [145]刘巍.轻型汽车转向稳定性控制算法及硬件在环试验台研究:[吉林大学博士论文].长春:吉林大学,2007
    [146]欧阳.轿车稳定性控制系统轮缸压力控制和估算算法研究:[吉林大学博士论文].长春:吉林大学,2011
    [147] Ding N,Yu G,Wang W.Estimation of brake pressure and tyre–road frictionduring ABS activation.International Journal of Vehicle Design,2012,58(1):33-45
    [148] Wei L,Haitao D,Konghui G.Research on ESC Hydraulic Control UnitProperty and Pressure Estimation.In:Intelligence Computation and EvolutionaryComputation. Berlin Heidelberg:Springer,2013,625-631

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