面向虚拟现实和遥操作的移动机器人同步定位与地图创建技术研究
详细信息    本馆镜像全文|  推荐本文 |  |   获取CNKI官网全文
摘要
近年来,随着机器人、计算机、宇航等技术的飞速发展和交叉融合,机器人被越来越广泛的应用在对未知环境的探索工作中。要探测未知环境,机器人应具有自主导航、自主建立电子地图、传送地图的能力,如果要完成某些特定任务,机器人还应该具有遥操作的能力。经过多年的发展,机器人的地图自主创建和遥操作技术在国际上已取得了诸多成果,但是在这些成果中地图创建和遥操作往往是脱钩的,地图通常只具有显示功能,遥操作也大多是在远程视频的帮助下完成的,这就形成一个问题:操作员在遥控机器人的时候不知道此时机器人在地图中的具体位置,很难对机器人的运动有一个整体规划。
     本文在国家863计划项目“危险化学反应器控制与修补移动机械手系统(2003AA421040)”的支持下,对上述问题展开了深入研究,建立了一套面向虚拟现实和遥操作的移动机器人同步定位与地图创建系统方案,该方案能够以虚拟现实的方式对未知环境进行三维建模和立体图形交互显示,并以虚拟现实系统为遥操作终端以无线网络为传输媒介控制机器人的运行。充分发挥了虚拟现实的沉浸感和交互性,借助于立体显示设备,给操作员带来了身临其境的效果。
     本文的研究平台采用HEBUT-II型移动机器人,主要研究了三个问题:机器人的同步定位和三维地图自主生成;由三维地图到虚拟现实系统的构建;基于虚拟现实系统对机器人的遥操作。这三个问题紧密衔接在一起,从理论和实践上构造了一个机器人对未知环境的导航平台。
     论文的创新性工作如下:
     1.提出了机器人利用GPS和里程计进行粗略定位的具体方法,通过分析机器人的轮式结构建立机器人车体部分的运动控制命令模型。针对HEBUT-II型机器人的超声波传感器的位置分布和消除串扰回波问题,建立了超声波传感器的测量模型。在深入研究五自由度机械手的运动学问题的基础上,用D-H法建立了五自由度机械手运动学模型并分析了机械手的关节速度与雅可比矩阵。研制成功了机械手的控制系统。
     2.提出了一种以超声波传感器为探测手段的移动机器人自主建立三维电子地图的方案,深入研究了FastSLAM算法,利用粒子滤波和卡尔曼滤波确定各路标位置的误差椭圆。在此基础上,采用噪声模糊聚类的方法分段把误差椭圆的中心点进行曲线拟合,再以机械手末端执行器上安装的声纳测量环境中各路标高度,建立了环境的三维模型。
     3.建立了以虚拟现实系统为终端显示界面的具有立体显示功能和遥操作功能三维电子地图。该地图的几何模型来源于机器人建立的环境模型。研究了立体显示算法,并将其应用到电子地图中,通过立体显示外设,实现了具有沉浸感的场景再现功能。采用OBB (Oriented Bounding Boxes,有向包围盒)的碰撞检测算法提高了机器人的安全性。以数据手套作为人机交互设备,设计了用于机器人遥操作的手势集合,实现了地图中的虚拟机器人和真实机器人的同步运动,整个交互过程直观、自然,符合人在自然环境中的表达方式。
     4.提出了基于WLAN和基于GPRS的两套独立运行的无线通信方法,分别负责传送地图模型信息、遥操作命令和远程视频。WLAN作为主要的传输方式,采用了BSS的拓扑结构连接,通过增加高增益天线改善了普通的WLAN通信距离短的缺点,把通信距离成功拓展到数公里之外。针对视频传输对带宽要求较大的问题,研究并设计了多线程的传输方式,进一步提高了传输速率。GPRS作为辅助方式,以AT命令的方式发送指令遥控机器人运行,或启动机器人控制器来完成建图或者遥操作工作。
     5.本文分别在操场、办公室、走廊等环境进行了一系列地图自主创建实验。实验表明机器人能够实时地完成三维模型的创建并具有较高的精度,所生成的地图能够给操作员带来很好的沉浸感。
With the rapid development of the robot, computer and space navigation technology and syncretization between them these years, the robot is applied more and more widely in the exploration of the unknown environment. To explore the unknown environment, the robot should have the ability of self-navigation, self-electronic map production and transmission. Furthermore, to complete some special assignment, the robot should be under the teleoperation. In decade years, there has been much harvest in the field of robot self-electronic map production and teleoperation throughout the world. While the self-electronic map production and teleoperation are separated in these results, that is, the map only can been displayed, and the teleoperation mostly need been carried out by the remote video. Then the problem appears that the operator doesn’t know the position of the robot when telecontrols it, so it is difficult to get a whole plan of the robot movement.
     Supported by Hi-tech Research and Development Program of China (No. 2003AA421040), the author has done deep research on the above problem in this essay. It established a mobile robot simultaneous localization and map building system to virtual reality and teleoperation, which can build 3D model and display the solid graphics, and control the robot by the wireless LAN with virtual reality system. In the meantime, the system make the operator feel in the real environment based on the character of the virtual reality.
     Exploring the environment by ultrasonic sensors, the essay researched the HEBUT-II mobile robot, and stated three points as follows: the simultaneous localization of the robot and the autonomously builded 3D map, from the 3D map to establishing the virtual reality system, teleoperation of the robot based on the virtual reality system.
     The essay’s content as follows:
     1. Set up the localization method of the robot by the GPS and milemeter, built the movement control model of the robot bodywork through analyzing the robot wheel structure. Established the measure model of ultrasonic sensors according to the ultrasonic sensors position and the crosstalk problem of the HEBUT-II robot. Established the kinematics model of 5DOF manipulator by D-H method, then analyzed joint velocity of the manipulator and Jacobian matrix. Designed the control system of the manipulator.
     2. Put forward the scheme of building 3D electronic map by the robot independently with ultrasonic sensors, lucubrated the FastSLAM algorithm, ensured the error ellipse of landmark position by particle filter and extended Kalman filter, and based on which, got the planar profile of the environment by merging the error filters center points to curve by adaptive fuzzy clustering algorithm integrated with noise clustering technique. Measured the landmark height by the sonar on manipulator end- effector after establish 2D model. Obtained the 3D model by connecting the scale of the landmark height with the planar model.
     3. Building the 3D electronic map with stereo display and teleoperation, whose vision interface was virtual reality system. The map’s geometry model was from the 3D model. Made the electronic map being provided with stereo display ability through researching on stereo display algorithm and applying it. Realized the scene emersion function with immersion by connecting stereo display facilities. Strengthened the safety by the OBB (Oriented Bounding Boxes) collision detection. Used the data gloves as the interaction machine of the person and the robot, also designed gesture aggregate for robot teleoperation. The virtual robot in the map and the real robot moved simultaneously, which the whole process was natural and direct according with the expression ways of the human in the environment.
     4. Established two separated telecommunication systems based on WLAN and GRPS, which transmit the message of map model, teleoperation order and long-distance video. As the main transmit method, WLAN connected by BSS topology structure. Extended the communication distance by using high gain antenna. Improved the transmit speed by studying and designing the multithread transmit way according to high bandwidth requirement of video transmit. As the assistant way of GPRS, telecontrolled the robot by AT order, or set up the map and teleoperated by startuping the programming in the robot computer.
     5. In the essay, experiments about the HEBUT-II robot autonomously building the map had been done on the playground, office and aisle. In these experiments, the robot could establish the 3D model which has higher precision in time basically, and the map can bring the immersion to the operator.
引文
[1] Martinez-Vargas, M. Patricia, Meda-Campana, et al. Quality of Service on a Distributed Virtual Reality System for Robots Tele-operation over the Internet. Lecture Notes in Computer Science, 2006, 3473: 81-90
    [2] Billinghurst Mark, Grasset Raphael, Looser Julian. Designing Augmented Reality Interfaces. Computer Graphics (ACM), 2005, 39(1): 17-22
    [3] Liu Wei, Song Aiguo. Force-reflecting Teleoperation System Based on Virtual Reality and Its Stability Analyse. Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument, 2006, 27: 1090-1093
    [4] Magoulas G D, Lepouras G, Vassilakis C. Virtual reality in the E-Society. Virtual Reality, 2007, 11(2-3): 71-73
    [5] 李磊,叶涛,谭民.移动机器人技术研究现状与未来.机器人,2002,24(5):475-480?
    [6] 厉茂海,洪炳熔,蔡则苏.一种新的移动机器人全局定位算法.电子学报,2006,34(3):553-558?
    [7] Lee Yong-Ju, Kwon Tae-Bum, Song Jae-Bok. SLAM of a Mobile Robot Using Thinning-based Topological Information. International Journal of Control, Automation and Systems, 2007, 5(5): 577-583
    [8] Smith R, Self M, Cheeseman P. Estimating Uncertain Spatial Relationships in Robotics. Autonomous Robot Vehicles, Springer_Verlag, 1990, 167-193?
    [9] R Smith, M Self, P Chesseman. Estimating Uncertain Spatial Relationships in Robotics. Proceedings of Conference on Uncertainty in Artificial Intelligence. Amsterdam: North Holland, 1988, 35-461?
    [10] Thrun S, Fox D, Burgard W. A probabilistic Approach to Concurrent Mapping and Localization for Mobile Robots. Machine Learning, 1998, 31(1-3): 29-53?
    [11] Dissanayake G, Newman P, Clark S, et al. A Solution to the Simultaneous Localization and Map Building (SLAM) Problem. IEEE Trans on Robotics and Automation, 2001, 17(3): 229-241?
    [12] 迟健男,徐心和.移动机器人即时定位与地图创建问题研究.机器人,2004,26(1):92-960?
    [13] 罗荣华,洪炳铬.移动机器人同时定位与地图创建研究进展.机器人,2004,26(2): 183-186?
    [14] 方正,佟国峰,徐心和.基于贝叶斯滤波理论的自主机器人定位方法研究.控制与决策, 2006,21(8)?
    [15] Montemerlo M, Thrun S. Simultaneous Localization and Mapping with Unknown Data Association Using FastSLAM. In: Proceedings of the IEEE International Conference on Robotics and Automation. 2003, 1985-1991?
    [16] Fox D, Burgard W, Kruppa H, et al. A Probabilistic Approach to Collaborative Multi-robot Localization. Autonomous Robots, 2000, 8(3): 325-344?
    [17] Mourikis Anastasios I, Roumeliotis Stergios I. Predicting the Performance of Cooperative Simultaneous Localization and Mapping (C-SLAM). International Journal of Robotics Research, 2006, 25(12): 1273-1286?
    [18] Tomatis N, Nourbakhsh I, Siegwart R. Hybrid Simultaneous Localization and Map Building: A Natural Integration of Topological and Metric. Robotics and Autonomous Systems, 2003, 44(1): 3-14?
    [19] 黄庆成,洪炳熔,厉茂海等.基于主动环形闭合约束的移动机器人分层同时定位和地图创建.计算机研究与发展,2007,44(4):636-642?
    [20] Lemaire Thomas, Berger Cyrille, Jung II-Kyun. Vision-based SLAM: Stereo and Monocular Approaches. International Journal of Computer Vision, 2007, 74(3): 343-364?
    [21] Kouzoubov K, Austin D. Hybrid Topological/Metric Approach to SLAM. Proceeding of the IEEE International Conference Robotics and Automation, New Orleans, LA : IEEE Press, 2004, 872-877?
    [22] Nuchter Andreas, Lingemann Kai, Hertzberg Joachim, et al. 6D SLAM - 3D mapping outdoorenvironments. Journal of Field Robotics, 2007, 24(8-9): 699-722
    [23] Nuchter Andreas, Lingemann Kai, Hertzberg Joachim, et al. 6D SLAM with Approximate Data Association. 12th International Conference on Advanced Robotics, 2005. ICAR '05. 2005, 242-249
    [24] 徐国华,徐筱龙,蔡涛.基于多传感器的自治潜水器定位和创建地图方法. 中国造船, 2006,47(2):70-75
    [25] Choi Jinwoo, Lee Kyoungmin, Ahn Sunghwan, et al. A Practical Solution to SLAM and Navigation in Home Environment. 2006 SICE-ICASE International Joint Conference, 2006, 2015-2021
    [26] J Guivant, E Nebot, S Baiker. High Accuracy Navigation Using Laser Range Sensors in Outdoor Applications. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 2000, 4: 3817–3822
    [27] T.Bailey. Mobile Robot Localisation and Mapping in Extensive Outdoor Environments. [PhD Dissertation], University of Sydney, 2002
    [28] Thor I Fossen. Marine Control Systems: Guidance, Navigation and Control of Ships, Rigs and Underwater Vehicles. Marine Cybernetics AS, ISBN 82-92356-00-2, 2002
    [29] Slawinski Emanuel, Postigo Jose F, Mut Vicente. Bilateral Teleoperation through the Internet. Robotics and Autonomous Systems, 2007, 55(3): 205-215
    [30] Fraisse P, Agniel C, Andreu D, et al. Teleoperations over an IP Network: Virtual PUMA Robot. 2003 IEEE International Conference on Industrial Technology, 2003, 2: 669-674
    [31] 栾昌海,王盟,燕爱华.基于虚拟现实的 Internet 机器人网络控制研究.嵌入式与单片机, 2006,39-41
    [32] Wang XiaoGang, M MoallemR V Patel. An Internet-Based Distributed Multiple-Telerobot System. IEEE Transactions on Systems, Man, and Cybernetics Part A: Systems and Humans, 2003, 627-633
    [33] Zhang Wei-Xing, Chen Wei-Dong. WLAN-based Multi-robot Communication and Action Coordination. Jiqiren/Robot, 2004, 26(3): 226
    [34] 符秀辉,华建宁,郑伟等.网络遥操作机器人的任务产生方法研究.微计算机信息, 2006, 3-2: 185-187
    [35] 陈洋,陆宇平.机器人实时远程控制系统及其开发库的设计与实现.电子技术应用,2006, 2:7-10
    [36] Kaneko Shin-Ichiro, Nasu Yasuo, Yamano Mitsuhiro, et al. Online Remote Control of Humanoid Robot Using a Teleoperation System and User Interface. WSEAS Transactions on Systems, 2005, 4(5): 561-568
    [37] 庞文尧.基于 C/S 模式的远程控制系统研究开发[工学博士学位论文].浙江:浙江大学,2003
    [38] 庄骏,邱平,孙增圻.大时延环境下的分布式遥操作系统.清华大学学报,2000,40(1): 80-83
    [39] 高龙琴,黄惟一,宋爱国.交互式遥操作机器人实验平台中的通信时延问题研究.测控技术,2005,24(7):42-45
    [40] Sirouspour Shahin, Shahdi Ali. Discrete-time Linear Quadratic Gaussian Control for Teleoperation under Communication Time Delay. International Journal of Robotics Research, 2006, 25(2): 187-202
    [41] Zhang Yujie, Bartone Chris. A General Concept and Algorithm of Projected DGPS for High-accuracy DGPS-based Systems Navigation. Journal of the Institute of Navigation, 2004, 51(4): 293-300
    [42] Simon J Julier, Hugh F Durrant-Whyte. On the Role of Process Models in Autonomous Land Vehicle Navigation Systems. IEEE Transactions on Robotics and Automation, 2003, 19(1): 1-14
    [43] Luo Zhen, Cao Qi-Xin. Self-localization of Mobile Robot Based on Vision and Odometer. Jiqiren/Robot, 2006, 28(3): 344-349
    [44] Chee-Yee Chong, David Garren, Timothy P Grayson. Ground Target Tracking - a Historical Perspective. In Proceedings of the IEEE Aerospace Conference, 2003, 433-448
    [45] H. Choset, K. Nagatani. Topological Simultaneous Localization and Mapping (slam): Toward Exact Localization without Explicit Localization. IEEE Transactions on Robotics and Automation, 2001, 17(2):125-136
    [46] Nakju Doh, Howie Choset, Wan Kyun Chung. Accurate Relative Localization Using Odometry. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 2003, 1665-1670
    [47] 黄 庆 成 , 洪 炳 熔 . 全 自 主 足 球 机 器 人 的 超 声 波 定 位 避 障 系 统 . 哈 尔 滨 工 业 大 学 学报,2003,35(9):1077-1079
    [48] Begum Momotaz, Mann George K I, Gosine. Raymond G. An Evolutionary SLAM Algorithm for Mobile Robots. 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2006: 4066-4071
    [49] Williams S B. Efficient Solutions to Autonomous Mapping and Navigation Problems: [Dissertation]. Sydney: University of Sydney, 2001
    [50] Guivant J E, Nebot E M. Optimization of the Simultaneous Localization and Map-building Algorithm for Real-time Implementation. IEEE Transactionson Robotics and Automation, 2001, 17(3): 242-257
    [51] Julier S J, A Sparse Weight Kalman-filter Approach to Simultaneous Localization and Map building. Proceedings of the IEEE International Conference on Intelligent Robots and Systems, 2001, 1251-1256
    [52] Leonard J, Feder H J S, Decoupled Stochastic Mapping. IEEE Journal of Oceanic Engineer, 2001, 26(4): 561-571
    [53] Dissanayake Gamini, Williams Stefan B, Durrant-Whyte Hugh, et al. Map Management for Efficient Simultaneous Localization and Mapping (SLAM). Autonomous Robots, 2002, 12(3): 267-286
    [54] Spenko M, lagnemma K, Dubowsky. High Speed Hazard Avoidance for Mobile Robots in Rough Terrain. Proceedings of SPIE - The International Society for Optical Engineering, v 5422, Unmanned Ground Vehicle Technology VI, 2004. 439-450
    [55] Liu Y, Thrun S. Results for Out Door SLAM Using Sparse Extended Information. Filters Proc of the IEEE International Conference on Robotics & Automation. Taipei: IEEE Press, 2003. 1227-1233
    [56] Montermerlo M, Thrun S, Koller D, et al. FastSLAM 2.0: An Improved Particle Filtering Algorithm for Simultaneous Localization and Mapping that Provably Converges Proceeding of the International Joint Conference on Artificial Intelligence. Acapulco Mexico: AAAI Press, 2003: 1151-1156
    [57] D Crisan, A Doucet. A Survey of Convergence Results on Particle Filtering for Practitioners. IEEE Transactions on Signal Processing, 2002, 50(3): 736–746
    [58] Kwok N M, Dissanayake, G Ha Q P. Bearing-only SLAM Using a SPRT Based Gaussian Sum Filter. Proceedings of the 2005 IEEE International Conference on Robotics and Automation, 2005. 1109-1114
    [59] Fox D. Adapting the Sample Size in Particle Filters through KLD2 Sampling. The International Journal of Robotics Research, 2003, 22(12): 985-1003
    [60] Sim Robert, Elinas Pantelis, Little James J. A Study of the Rao-blackwellised Particle Filter for Efficient and Accurate Vision-based SLAM. International Journal of Computer Vision, 2007, 303-318
    [61] LiM H, Hong B R, Luo R H. Evolution Particle Filter for Mobile Robot Simultaneous Localization and Mapping. Proceedings of the IEEE International Conference on Natural Language Processing and Knowledge Engineering. New York, NY, USA: IEEE, 2005. 808-813
    [62] 厉茂海,洪炳熔,罗荣华.用改进的 Rao-Blackwellized 粒子滤波器实现移动机器人同时定位和地图创建.吉林大学学报(工学版),37(2)
    [63] Thrun S. Particle filters in robotics. Proceedings of the 17th Annual Conference on Uncertainty in Artificial Intelligence. San Francisco, CA, USA: Morgan Kaufmann, 2002: 511 – 518
    [64] CrisanD, Doucet A. A survey of Convergence Results on Particle Filtering Methods for Practitioners. IEEE Transactionson Signal Processing, 2002, 50(2): 736 – 746
    [65] 夏克寒,许化龙,张朴睿.粒子滤波的关键技术及应用.电光与控制,2005,12(6):1-4,19
    [66] 王 卫 华 , 陈 卫 东 , 席 裕 庚 . 移 动 机 器 人 地 图 创 建 中 的 不 确 定 传 感 信 息 处 理 . 自 动 化 学报,2003,29(2):267-274
    [67] Vermaak Jaco, Godsill Simon J, Perez Patrick. Monte Carlo Filtering for Multi-target Tracking and Data Association. IEEE Transactions on Aerospace and Electronic Systems, 2005, 41(1): 309-332
    [68] F.Dellaert.Monte Carlo EM for Data-Association and its Application in Computer Vision. [PhD Dissertation], Carnegie Mellon University, 2001
    [69] Anwar A M, Bahnasawi A A. Fuzzy Neural Data Association Filter in Multitarget Tracking Systems. Journal of Engineering and Applied Science, 2004, 51(6): 1201-1219
    [70] 倪涛,赵丁选,巩明德.遥操作工程机器人遥控端软件设计.工程机械,2003,2:4-7
    [71] 徐志晖,陆宇平.无线局域网在移动机器人远程控制中的应用.信息技术,2004,28(12): 7-9
    [72] Hegde Malati, Anand S V R, Kumar Anurag, et al. WLAN Manager (WM): A Device for Performance Management of a WLAN. International Journal of Network Management, 2007, 17(2): 155-170
    [73] Gao Xian-Wen, Yang Jun, Yu Xiao-Feng. R and D of Multimedia Software for Industrial Process Monitoring Systems. Dongbei Daxue Xuebao/Journal of Northeastern University, 2005, 26(10): 934-937
    [74] 涂海艳,胡修林,张蕴玉.VC 环境下用 WinSock 控件实现网络通信.电子技术,2000,12:8-10
    [75] 石锦,曾庆军.网络遥操作机器人系统视频传输研究.微计算机信息,2007,3(2): 254-256
    [76] Schoute Albert, Seesink Remco, Dierssen Werner, et al. Fast Data Sharing within a Distributed, Multithreaded Control Framework for Robot Teams. Concurrent Systems Engineering Series, 2005, 63: 147-154
    [77] 张允刚,刘常春,刘伟等.基于 Socket 和多线程的远程监控系统.控制工程,2006,13: 175-177
    [78] Usisalo Jarno R A, Raneda Albert, Vilenlus Jani M, et al. Wireless Starting System and Emergency Stop for Teleoperated Hydraulic Mobile Machine. Proceedings of the ASME Fluid Power Systems and Technology Division - 2004, 2004, 11: 65-173
    [79] Sgouros Nikitas M, Gerogiannakis Stelios. Robot Teleoperation Environments Featuring WAP-based Wireless Devices. ournal of Network and Computer Applications, 2003, 6(3): 59-271
    [80] Huang Haiming, Liu Baowei, Liu Jingang, et al. Building of Virtual Reality Scene Based on Real Scenery. Computer Engineering, 2005, 14 (31): 183-186
    [81] 任倩,王树国,陈祥立等.面向机器人离线编程的真实感虚拟环境生成.2003,3:1-4
    [82] Ji-Young Oh, Wolfgang Stuerzlinger. A System for Desktop Conceptual 3D Design. Virtual Reality. 2004, 7: 198-211
    [83] Sonali Morar, Robert D Macredie. Special Issue on Interacting with Desktop Virtual Environments: Perception and navigation. Virtual Reality, 2004, 7: 129-130
    [84] 靳海亮,康建荣,高井祥.基于 VC 和 OpenGL 生成三维真实感地形.舰船电子工程,2005, 25(2):102-106
    [85] 秦忠宝,石怀宇,何卫平等. OpenGL 在自然对象真实感图形生成中的应用.计算机应用,2005,25:202-205
    [86] 禹海全,郝永生,马剑.一种基于虚拟现实技术的导弹模拟训练系统.系统仿真学报,2006,18(4):921-923
    [87] Stephane Redon. Fast Continuous Collision Detection and Handling for Desktop Virtual Prototyping. Virtual Reality, 2004, 63-70
    [88] Hoshino Kiyoshi, Dexterous Robot Hand Control with Data Glove by Human Imitation. IEICE Transactions on Information and Systems, 2006, E89-D(6): 1820-1825
    [89] Zhang Rui, Zhang Xien. Interaction Method Based on Data Glove in Virtual Environment. Jisuanji Gongcheng/Computer Engineering, 2005, 31(12): 223-225
    [90] Bao Gang, Sun Zhongsheng, Wang Zuwen. Force Feedback Data Glove Based on Pneumatic Artificial Muscles. Chinese Journal of Mechanical Engineering (English Edition), 2006, 19(4): 588-593
    [91] Xiong Youjun, Li Shiqi, Wang Wentao. Operating Technology Of Virtual Robot Based on Data GloveDrive. Mechanical Science and Technology. 2004, 12(23): 112-115
    [92] R S ylett, C Delgado, J H Serna , et al. Desk-top Virtual Reality for Future Command and Control. Virtual Reality, 2005, 8: 131-146
    [93] PhilipN Day, Cus Ferguson, Patrik O'Brian Holt, et al. Wearable Augmented Virtual Reality for Enhancing Information Delivery in High Precision Defence Assembly: an Engineering Case Study. Virtual Reality, 2005, 8: 177-184
    [94] Yamada H, Muto T. Construction Tele-robotic System with Virtual Reality (CG Presentation of Virtual Robot and Task Object Using Stereo Vision System). Control and Intelligent Systems, 2007, 35(3): 195-201
    [95] 张海燕.虚拟现实遥现遥控远程前端的视觉系统研究[工学博士学位论文].哈尔滨:哈尔滨工程大学,2004

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700