期刊文献+

激光测距在移动机器人自主导航中的应用 被引量:3

Application of laser ranging in mobile robot autonomous navigation
下载PDF
导出
摘要 移动机器人在运动范围内需要有足够的传感器信息可供利用来进行自主导航,在完全未知的环境中,由机器人依靠其自身携带的传感器所提供的信息建立环境模型是机器人进行自主定位和导航的前提之一。介绍了激光测距在移动机器人自主导航中的应用研究;通过二维测距传感器对其周围环境进行扫描,提出了自主导航中地图创建、定位如何用二维扫描获得三维数据流的算法描述,并实验验证该算法的运用使机器人获得一个很好的三维视觉结构图。 Mobile robot needs to have the enough sensor information in the movement scope to supply to use carries on the autonomous navigation. The information establishment environment model which in the completely unknown environment, depends upon its oneself by the robot which to carry the sensor provides is one of the robot carries on autonomous localization and navigation premises. The applied research of the-laser ranging in the mobile robot autonomous navigation is introduced, then to its environment the scanning is carried on through the twodimensional range finder sensor, the map building and localization in the autonomous navigation is proposed how to use the two-dimensional scanning to obtain the three dimensional data stream the algorithm description, and the experiment confirms this algorithm is allowed to cause the robot to obtain a very good three dimensional visual structure drawing.
出处 《传感器与微系统》 CSCD 北大核心 2007年第7期114-117,共4页 Transducer and Microsystem Technologies
关键词 激光测量 自主导航 地图创建 定位 laser measurement autonomous navigation map building localization
  • 相关文献

参考文献6

  • 1Leonard J J, Durrant-Whyte H F. Application of multi-target tracking to sonar-based mobile robot navigation [ C ]//In 29th IEEE Int Conference on Decision and Control. USA: Hawaii, 1990:3118 -3123.
  • 2Kwon Y D, Lee J S. A stochastic environment modeling method for mobile robot by using 2-D laser scanner [ C ]// Proc of Int Conf on Robotics and Automation,1997:1688 -1693.
  • 3Gonzalez J, Ollero A, Reina A. Map building for a mobile robot equipped with a 2-D Laser rangefinder[ C ]// Proceedings of the IEEE International Conference on Robotics and Automation, 1994 : 1904 -1909.
  • 4Cox I J. Blanche. An experiment in guidance and navigation of an autonomous robot vehicle [ J ]. Tran on Robotics&Automation, 1991 (2) : 193 -204.
  • 5项志宇,刘济林.室内移动机器人的初始定位的一种新方法[J].仪器仪表学报,2003,24(1):65-68. 被引量:9
  • 6项志宇,刘济林.基于环境特征跟踪的移动机器人定位[J].仪器仪表学报,2003,24(4):391-394. 被引量:8

二级参考文献13

  • 1[1]J.Vandorpe, H.Xu, H.van Brussel, E.Aertbelien. Positioning of the mobile robot LiAS using natural landmarks and a 2D range finder. Proc. IEEE Int. Conf. on Multisensor Fusion and Integration for Intelligent System,1996, 257~264.
  • 2[2]A.Curran, K.J. Kyriakopoulos. Sensor-based self-localization for wheeled mobile robots. Proc. Int. Conf. Robotics & Automation, 1993,8~13.
  • 3[3]I.J.Cox, Blanche. An experiment in guidance and navigation of an autonomous robot vehicle. Trans. on Robotics & Automation, 1991,17(2): 193~204.
  • 4[4]R.Madhavan, G.Dissanayake, H.Urrant-Whyte. Map-building and map-based localization in an underground-mine by statistics pattern matching. Proc. Int. Conf. on Pattern Recognition, 1998, 1744~1746.
  • 5[5]Gerchard Weib, Christoper Wetzler, Ewald Von Puttkamer.Keeping track of position and orientation of moving indoor systems by correlation of range-finder scans.Proceedings of the IEEE/RSJ/GI International Conference on Advanced Robotic Systems and the Real World', IROS '94, 1994, 1:595~601.
  • 6[6]Xiang Zhiyu, Liu Jilin,et al.Obstacle detection by ALV using two 2D laser range finders. Journal of Zhejiang University (SCIENCE), 2001,2(4):388~394.
  • 7J Leonard, H F Durrant-Whyte. Application of Multi-Target Tracking to Sonar Based Mobile Robot Navigation. International Conference on Decision and Control,1990.
  • 8Beom H R, Cho H S. Mobile Robot Localization Using a Single'Rotating Sonar and Two Passive Cylindrical Beacons. Robotics, 1995,13 : 243~252.
  • 9J Leonard, H. Durrant-Whyte. Mobile Robot Localization by Tracking Geometric Beacons. IEEE Trans. On Robotics and Automation, 1991,7: 376~382.
  • 10J Vandorpe, H Xu, H van Brassel, E Aertbelien. Positioning of the Mobile Robot LiAS using Natural Land-Marks and a 2D Range Finder Proc IEEE Int Conf. On Multisensor Fusion and Integration for Intelligent System, 1996,257~264.

共引文献14

同被引文献26

引证文献3

二级引证文献37

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部