MA Xudong, DAI Xianzhong, SHANG Wen. Vision-based extended Monte Carlo localization for mobile robot[C]//Proceedings of the IEEE International Conference on Mechatronics and Automation.[s.l], 2005.
[2]
XU Zezhong, LIU Jilin, XIANG Zhiyu. Map building and localization using 2D range scanner[C] //Proceedings of the 2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation. Kobe, Japan, 2003.
[3]
BUGARD W, DERR A, FOX D, et al. Integrating global position estimation and position tracking for mobile robots: the dynamic Markov localization approach[C] //Proceedings of the 1998 IEEE/RSJ International Conference on Intelligent Robots and Systems.Victoria B C,Canada,1998.
[4]
PORTA J M, KROSE B J A. Apppearance-based concurrent map building and localization using a multi-hypotheses tracker[C] //Proceedings of 2004 IEEE/RSJ International Conerence on Intelligent Robots and Systems. Sendai, Japan, 2004.
[5]
海丹, 李勇, 张辉, 等. 无线传感器网络环境下基于粒子滤波的移动机器人SLAM 算法[J]. 智能系统学报, 2010, 5(5): 425-431. HAI Dan, LI Yong, ZHANG Hui, et al. Simultaneous localization and mapping of a mobile robot in wireless sensor networks based on particle filtering[J]. CAAI Transactions on Intelligent Systems, 2010, 5(5): 425-431.
[6]
夏琳琳, 张健沛, 初妍. 计算智能在移动机器人路径规划中的应用综述[J]. 智能系统学报, 2011, 6(2): 160-165. XIA Linlin, ZHANG Jianpei, CHU Yan. An application survey on computational intelligence for path planning of mobile robots[J]. CAAI Transactions on Intelligent Systems, 2011, 6(2): 160-165.
[7]
陶辉,吴怀宇,程磊,等. 轮式移动机器人FastSLAM算法研究[J]. 哈尔滨理工大学学报, 2011, 16(1): 42-47. TAO Hui, WU Huaiyu, CHENG Lei, et al. The research of wheeled mobile robot FastSLAM algorithm[J]. Journal of Harbin University of Science and Technology, 2011, 16(1): 42-47.
[8]
JULIER S J,UHLMANN J K, DURRANT-WHYTE H F. A new approach for filtering nonlinear systems[C]// Proceedings of American Control Conference. [s.l.], 1995.
[9]
刘丽雯，张崇巍，徐玉华，等. 基于UKF的室内移动机器人定位问题[J].合肥工业大学学报:自然科学版, 2009, 32（1）：9-13. LIU Liwen, ZHANG Chongwei, XU Yuhua,et al. SLAM of indoor mobile robots based on the Unscented Kalman Filter[J].Journal of Hefei University of Technology, 2009, 32（1）：9-13.
[10]
李丹，刘建业，熊智，等. 基于最小偏度采样的卫星自主导航SRUKF算法[J].南京航空航天大学学报，2009, 41（1）：54-58. LI Dan, LIU Jianye, XIONG Zhi, et al. Square root unscented Kalman filter for satellite autonomous navigation system based on minimal skew simplex transformation[J]. Journal of Nanjing University of Aeronautics & Astronautics，2009,41（1）：54-58.
[11]
姜雪原，马广富，胡庆雷.改进型UKF滤波算法的卫星姿态估计[J].哈尔滨工程大学学报， 2005, 26（4）： 544-549. JIANG Xueyuan, MA Guangfu, HU Qinglei. Modified unscented Kalman filter for satellite attitude estimation[J]. Journal of Harbin Engineering University, 2005, 26（4）：544-549.
[12]
刘海洋，杨乐，陈杰.改进无色卡尔曼滤波算法在GPS 系统中的应用[J].系统仿真学报, 2009, 21（15）： 4859-4865. LIU Haiyang, YANG Le, CHEN Jie. Application of modified unscented Kalman filter algorithm in GPS system[J]. Journal of System Simulation, 2009, 21（15）： 4859-4865.
[13]
罗涌，钟洪声.一种改进的UKF算法在目标跟踪系统建模中的应用[J].遥测遥控， 2008, 29（1）： 55-58. LUO Yong, ZHONG Hongsheng. An improved UKF algorithm and its application in target tracking[J]. Journal of Telemetry, Tracking and Command, 2008, 29（1）： 55-58.
[14]
章飞，周杏鹏，陈小惠.基于衰减记忆滤波的平方根UKF被动目标跟踪算法[J].测控技术， 2010, 29（4）：22-26. ZHANG Fei, ZHOU Xingpeng, CHEN Xiaohui. Square-root UKF passive target tracking algorithm based on memory attenuation filtering[J].Measurement and Control Technology， 2010, 29（4）： 22-26.
[15]
JULIER S U, DURRANT W H F. A new method for the nonlinear transformation of means and covariance in filters and estimators[J]. IEEE Transactions on Automatic Control, 2000, 45(3)：4777-482.
[16]
秦永元，张洪钺.卡尔曼滤波与组合导航原理[M].西安:西北工业大学出版社，2010：88-92. QIN Yongyuan, ZHANG Hongyue. Kalman filter and principle of integrated navigation[M]. Xi’an: Northwestern Polytechnical University Press, 2010： 88-92.
