期刊文献+

基于粒子滤波的机器人定位及动态目标跟踪 被引量:11

Localization and Tracking of Moving Objects Based on Particle Filter for Mobile Robot
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摘要 提出了一种基于粒子滤波的动态跟踪算法,解决了传统SLAM理论在处理动态目标时误差不断累加的问题。通过分析移动机器人和激光测距仪,里程计的原理,建立了机器人的运动和观测模型。将数据关联的方法用于动态环境中则提高了系统的稳定性和定位的精度。仿真结果表明此算法能够比较精确地估计出机器人的位姿以及动态目标在地图中的位置,为开展将静态与动态相结合的定位与地图构建的研究提供了一种可行方案。 An algorithm of tracking of moving objects based on particle filter was proposed. A solution for existing methods of Simultaneous Localization and Mapping (SLAM) was provided to solve the problem of error accumulation while dealing with dynamic targets. Through analyzing the mechanism of mobile robot, laser range finder and odometer sensor, kinematic model and observation model were established. And, system could obtain better robusticity as well as improved accuracy of localization by employing data association in dynamic environment. Simulation results show that the proposed algorithm is able to estimate the pos'e of mobile robot and the position of moving objects in the map with good precision, and provides a feasible method for further research about SLAM with combination of dynamic localization and static localization.
出处 《系统仿真学报》 EI CAS CSCD 北大核心 2008年第23期6490-6493,6497,共5页 Journal of System Simulation
基金 国家高技术研究发展计划(863计划)(2006AA09Z231) 山东省科技攻关计划项目(2008GG1005011) 教育部留学归国人员科研基金(教留金2005-383)
关键词 移动机器人 动态目标跟踪 激光测距仪 粒子滤波器 数据关联 仿真 mobile robots tracking of moving objects Laser range finder particle filter data association simulation
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参考文献10

  • 1M Montemerlo, S Thrun, W Whittaker. Conditional Particle Filters for Simultaneous Mobile Robot Localization and People-Tracking [C]// IEEE Int. Conf. on Robotics and Automation (S1050-4729). USA: IEEE, 2002: 695-701.
  • 2R Smith, P Cheeseman. On the Representation and Estimation of Spatial Uncertainty [J]. Robotics Research (S0278-3649), 1986, 5(4): 56-68.
  • 3K Murphy Srussel. Rao-Blackwellized Particle Filtering for Dynamic Bayesian Networks. [J]. Robots and Systems (S1301-1306), 2001, 8(6): 56-60.
  • 4M Montemerlo. Fast SLAM: A Factored Solution to the Simultaneous Localization and Mapping Problem With Unknown Data Association [D]. USA: CMU-CS-03, Carnegie Mellon University, 1992.
  • 5C-C Wang, C Thorpe, S Thnm. Online Simultaneous Localization and Mapping with Detection and Tracking of Moving Objects: Theory and Results from a Ground Vehicle in Crowded Urban Areas [J]. IEEE Int. Conf. on Robotics and Automation (S1050-4729), 2003, 1(I): 842-849.
  • 6刘保龙,何波,王永清,鞠纯纯.移动机器人未知环境地图构建仿真平台[J].系统仿真学报,2007,19(13):2940-2943. 被引量:11
  • 7鞠纯纯,何波,刘保龙,王永清.基于粒子滤波器的SLAM的仿真研究[J].系统仿真学报,2007,19(16):3715-3718. 被引量:8
  • 8Daniel Castro, Urbano Nunes, Antonio Ruano. Feature Extraction for Moving Objects Tracking System in Indoor Environments [J]. Journal of Engineering and Applied Science (S1819-6608), 1998, 7(5): 356-362.
  • 9Paul E Rybski, Stergios I Roumeliotis, et al. Appearance-Based Minimalistic Metric SLAM [C]// Proceedings of the 2003 IEEE/RSJ Intl. Conference on Intelligent Robots and Systems. USA: IEEE, 2003, 1: 194-199.
  • 10Y Bar-Shalom, X-R Li. Multitarget-Multisensor Tracking: Principles and Techniques [D]. USA: YBS, Danvers, MA, 1995.

二级参考文献26

  • 1陈洪波,王强,徐晓蓉.用于线段特征提取的改进Hough变换[J].计算机工程与应用,2004,40(21):75-78. 被引量:14
  • 2刘保龙,何波,王永清,鞠纯纯.移动机器人未知环境地图构建仿真平台[J].系统仿真学报,2007,19(13):2940-2943. 被引量:11
  • 3S,Robotic mapping:A survey.in Exploring Artificial Intelligence in the New Millenium[DB/OL].(2002-02)[2006-05-28].http://www.cs.cmu.edu/~carmen/papers/thrun.mapping-tr.pdf
  • 4Tardós J D,Neira J,Newman P,J Leonard.Robust Mapping and Localization in Indoor Environments using Sonar Data[J].The Int.Journal of Robotics Research (S0278-3649),2002,21(4):311-330.
  • 5Cheeseman P,Smith R,Self M.A stochastic map for uncertain spatial relationships[C]//4th International Symposium on Robotic Research,Cambridge,MA:MIT Press,1987.
  • 6Australian Centre for Field Robotics.Source Code[DB/OL].http://www.acfr.usyd.edu.au/homepages/academic/tbailey/software/index.html
  • 7SensComp.600 Series Smart[DB/OL].(2004-09-13)[2006-05-28]http://www.senscomp.com/specs/600%20smart%20sensor.pdf
  • 8Cao Alex and Borenstein Johann.Experimental Characterization of Polaroid Ultrasonic Sensors in Single and Phased Array Configuration[C]// In UGV Technology.Conference at the 2002 SPIE AeroSense Symposium,Michigan,USA,2002.
  • 9Shoval S,Borenstein J.Using Coded Signals to Benefit from Ultrasonic Sensor Crosstalk in Mobile Robot Obstacle Avoidance[C]//Proceedings of the 2001 IEEE International Conference on Robotics and Automation,Seoul,Korea,Piscataway:IEEE Inc,2001.
  • 10Borenstein J,Koren Y.Error Eliminating Rapid Ultrasonic Firing for Mobile Robots Obstacle Avoidance[J].IEEE Transactions on Robotics and Automation (S0882-4967),1995,11(1):132-138.

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