移动机器人即时定位与地图创建问题研究

被引:53
作者
迟健男
徐心和
不详
机构
[1] 东北大学人工智能与机器人研究所
[2] 东北大学人工智能与机器人研究所 辽宁沈阳
[3] 辽宁沈阳
关键词
移动机器人; 特征提取; 定位; 地图创建; 数据相关;
D O I
10.13973/j.cnki.robot.2004.01.020
中图分类号
TP242 [机器人];
学科分类号
1111 ;
摘要
基于环境特征的移动机器人即时定位与地图创建是机器人领域的开放性课题 .本文从环境特征提取、定位与地图创建、数据相关三个方面对移动机器人即时定位与地图创建问题进行了综述 .对移动机器人定位问题作了概述 .探讨了室内环境下特征提取方法 .详细地论述了定位与地图创建中面临的主要问题及其解决方法 ;阐述了数据相关问题的基本思想 .最后 ,根据近期文献指出了该领域今后的研究方向 .
引用
收藏
页码:92 / 96
页数:5
相关论文
共 13 条
[1]  
Stochastic multisensory data fusion for mobile robot localization and environmental modeling. Moutarlier P,Chatila R. Proceedings of the International Symposium on Robotics Research . 1990
[2]  
Dynamic map building for an autonomous mobile robot. Leonard J,Durrant-Whyte H F. International Journal of Robotics Research . 1992
[3]  
Vision-based mobile robot localization and mapping using scale-invariant features. Se S,Lowe D,Little J. Proceedings of the IEEE International Conference on Robotics and Automation . 2001
[4]  
3D simultaneous localization and map building using active vision for a robot moving on undulating terrain. Davison A J,Nobuyuki K. Proceedings of the IEEE International Conference on Computer Vision and Recognization . 2001
[5]  
Laserbasedpositionacpuisitionandtrackinginanindoorenvironment. JensfeltP,CgrustebsebH. ProceedingsofIEEEInternationalSympo siumonRoboticsandAutomation . 1998
[6]  
A computationally efficient method for large-scale concurrent mapping and localization. Hollerbach J,Koditschek D. Proceedings of the Ninth International Symposium on Robotics Research[C] . 2001
[7]  
Combining topological and metric: A natural integration for simultaneous localization and map building. Tomatis N,Siegwart R. Proceedings of the Fourth European Workshop on Advanced Mobile Robots . 2001
[8]  
Particle filters in robotics. Thrun S. Proceedings of Uncertainty in AI(UAI - 2002 )[C] . 2002
[9]  
Landmark-based navigation of mobile robots in manufacturing. Hu S,Hu D D,Gu O. IEEE International Conference on Emerging Technologies & Factory Automatin . 1999
[10]  
FastSLAM: a factored solution to the simultaneous localization and mapping problem. Montemerlo M,Thrun S. Proceedings of the Eighteenth National Conference on Artificial Intelligence[C] . 2002