[1]霍成立,谢 凡,秦世引.面向室内移动机器人的无迹滤波实时导航方法[J].智能系统学报,2009,4(4):295-302.
 HUO Cheng-li,XIE Fan,QIN Shi-yin.A case study in realtime UKFbased navigation for indoor autonomous travel of mobile robots[J].CAAI Transactions on Intelligent Systems,2009,4(4):295-302.
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面向室内移动机器人的无迹滤波实时导航方法

参考文献/References:
[1]刘方湖.管道形轮腿式月球探测机器人及其运动特性的研究[D].上海:上海交通大学,2002.
?LIU Fanghu. A pipelineshaped wheellegged lunar exploration robot and its locomotion characteristics research[D].Shanghai:Shanghai Jiao Tong University,2002. 
[2]FLOBERGHAGEN R,BOUMAN J. On the information content and regularization of lunnar gravity field solutions[M]. Delf :Delft University Press,1998:1522.
[3]SIMMONS R, APFELBAUM D, BURGARD W, et al. Coordination for multirobot exploration and mapping[C]// Texas: Proceedings of National Conference on Artificial Intelligence.[S.l.]:AAAI,2000:852858.
[4】LAI X C, KONG C Y, GE S S, et al. Online map building for autonomous mobile robots by fusing laser and sonar data[C]// Proceedings of Conference on Mechatronics and Automation. Ontario,2005:993998.
[5】蒋新松.机器人学导论[M].辽宁:辽宁科学技术出版社,1994:57.
[6]KOREN Y, BORENSTEIN J. Potential field methods and their inherent limitations for mobile robot navigation[C]//Proceedings of the 1991 IEEE International Conference on Robotics and Automation. Sacramento. USA,1991:13981404
[7]马兆青,袁曾任.基于栅格方法的移动机器人实时导航和避障[J].机器人,1996(11):344348.
MA Zhaoqing, YUAN Zengren. Real time navigation and obstacle avoidance based on grids method for fast mobile robot[J].Robot, 1996(11):344348.
[8]段 华.室外移动机器人视觉导航关键技术研究[D].南京:南京航空航天大学,2006.
?DUAN Hua.Research on the key technology of visionbased navigation for outdoor mobile robots[D]. Nanjing: Nanjing University of Aeronautics and Astronautics, 2006.
[9]吴东晖. 智能移动机器人的视觉导航技术[D].杭州:浙江大学, 2001. 
?WU Donghui.Visual navigation technology of intelligent mobile robot[D]. Hangzhou:Zhejiang University, 2001.
[10]JULIER S J. The scaled unscented transformation[C]//Proceedings of the 2002 American Control Conference.[S.l.],2002: 45554559.
?[11]WELCH G, BISHOP G. An introduction to the Kalman filer[R]. University of North Carolina at Chapel Hill: TR 95041, 2004.
[12]SINGER R A. Estimating optimal tracking filter performance for manned maneuvering targets[J].IEEE Trans on Aerospace and Electronic Systems, 1970, 5(4):473483.
[13]CHAN Y T, HU A G C, PLANT J B. A Kalman filter based tracking scheme with input estimation[J].IEEE Trans on Aerospace and Electronic Systems, 1979,15(2):237244.
[14]LERROD, BARSHALOM Y K. Tracking with debiased consistent converted measurement vs EKF[J]. IEEE Trans on Aerospace and Electronics Systems, 1993, 29(3):10151022.
[15]JULIER S J, UHLMANN J K. A new method for the nonlinear transformation of means and covariances in filters and estimators[J].IEEE Trans 1A 1C1, 2000, 45(3):47724821.

备注/Memo

收稿日期:2009-04-13.
基金项目:国际科技合作基金资助项目(2007DFA11530);国家高技术研究发展计划(863)基金资助项目(2006AA04Z207);国家自然科学基金资助项目(60875072);教育部博士点基金资助项目(20060006018).
通信作者:霍成立.E-mail:hchlsy@sina.com.
作者简介:
霍成立,男,1979年生,硕士研究生,主要研究方向为基于视觉轮式移动机器人的导航算法与实现技术.?
谢 凡,男,1982年生,博士研究生,主要研究方向为多机器人系统的协同优化控制.
秦世引,男,1955年生,博士,教授,博士生导师,现任中国人工智能学会秘书长,智能控制与智能管理专业委员会副主任,中国自动化学会智能自动化专业委员会委员,系统复杂性专业委员会委员,《智能系统学报》编委会副主任.主要研究方向为图像处理与模式识别、大规模多机器人系统智能优化控制、复杂系统与复杂性科学等.发表学术论文110余篇,合著出版学术专著2部,研究生教材1部,译著2部.

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