期刊文献+

地下铲运机自主导航研究现状及发展趋势 被引量:16

An Overview of Autonomous Navigation Techniques and Development Trend for Underground LHD
下载PDF
导出
摘要 为改善地下金属矿山矿石运输作业安全生产状况,提高铲运机(LHD)工作效率并降低其故障率,研究地下铲运机自主导航技术发展的现状、现存问题和发展趋势,并对现存具有代表性地下铲运机自主导航技术进行分析与总结。结果表明,当前铲运机自主导航机制尚不完善,相关的研究不全面、与实际联系不够紧密。完善导航机制,加强相关学科领域的合作,进行铲运机实地试验研究是铲运机自主导航研究成果在地下金属矿山推广应用的前提,是未来开展该课题研究工作的重点。 To free the drivers from the shackles of the dangerous working environment,improve the safety condition for ore transportation operation, lower underground LHD failure rate, and increase underground LHD working efficiency, a thorough investigation was made into features of,problems faced with, and trends in development of various existing underground LHD autonomous navigation. It was noted that the naviga- tion Inechauisms dealt with now are not perfect, and that researches carried out into the navigation tech- niques are lacking in comprehensiveness and field testing with real LHDs. It was pointed out that perfec- ting the navigation mechanism, enhancing interdisciplinary coorporation and ceating opportunities for the field testing activities should be the focal points of the work to be done in the future.
出处 《中国安全科学学报》 CAS CSCD 北大核心 2013年第3期130-134,共5页 China Safety Science Journal
基金 国家高技术研究发展("863")计划(2011AA0607) 湖南省研究生科研创新项目(CX2011B116) 教育部博士研究生学术新人奖(1343-76140000011)
关键词 铲运机(LHD) 自主导航 导航机制 实地研究 跨学科合作 load-haul-and-dump-machine(LHD) autonomous navigation navigation mechanism field research interdisciplinary cooperation
  • 相关文献

参考文献19

  • 1Bruce James Dragt.Modeling and Control of an Autonomous Underground Vehicle[D].Pretoria:University of Pretoria,2006.
  • 2Makela H.Overview of LHD navigation without artificial beacons[J].Journal of Robotics and Autonomous Systems,1999,36(1):21-35.
  • 3Anna Gustafson.Automation of Load Haul Dump Machines[R].Lulea:University of Lulea,2011.
  • 4迟洪鹏,战凯,石博强.确定自主铲运机姿态的方法[J].矿冶,2011,20(3):79-81. 被引量:1
  • 5Lemarquand P.The panorama project approach,its result and relevance to mining[C].International Symposium on MineMechanization and Automation,1993:467-472.
  • 6迟洪鹏,战凯,郭鑫.基于多传感器信息融合的地下自主铲运机的定位技术[J].有色金属,2009,61(4):148-152. 被引量:2
  • 7Madhavan R,Dissanayke M W M G,Durrant-Whyte H F.Autonomous underground navigation using a combined ICP-EKFapproach[C].Proceedings of International Conference on Robotics and Automation,1998:3 703-3 708.
  • 8Borenstein J,Everett H R,Feng L,et al.Mobile robot positioning:sensors and techniques[J].Journal of RoboticSystems,1997,14(4):231-249.
  • 9Roberts,Duff J M E S,Corke P I.Reactive navigation and opportunistic localization for autonomous underground miningvehicles[J].International Journal of Information Science,2002,145(1/2):127-146.
  • 10Eriksson G,Kitok A.Automatic loading and dumping using vehicle guidance in a Swedish mine[C].International Sympo-sium on Mine Mechanization and Automation,1991:33-40.

二级参考文献27

  • 1庄严,王伟,王珂,徐晓东.移动机器人基于激光测距和单目视觉的室内同时定位和地图构建[J].自动化学报,2005,31(6):925-933. 被引量:55
  • 2陈卫东,徐善驾,王东进.距离定位中的多传感器布局分析[J].中国科学技术大学学报,2006,36(2):131-136. 被引量:5
  • 3厉茂海,洪炳熔.移动机器人同时定位和地图创建的一种新方法[J].南京理工大学学报,2006,30(3):302-305. 被引量:4
  • 4Robin R Murphy. Introduction to AI Robotics [ M ]. Cambridge, Massachusetts, USA : The MIT Press, 2000 : 311 - 351.
  • 5Jonathan M R, Elliot S D, Peter I C. Reactive navigation and opportunistic localization for autonomous underground mining vehicles [J]. Information Sciences, 2002,145 : 127- 146.
  • 6Costello S B, ,Chapman D N,Rogers C D F,et al. Underground asset location and condition assessment technologies [J]. Tunnelling and Underground Space Technology,2007, 22:524-542.
  • 7Ishimoto H ,Amd T T,Sarata S,et al. A practical trajectory following of an articulated steering type vehicle [ A ]. International Conferen- ceon Field and Service Robotics [ C ]. Canberra, Australia, 1997 : 412-419.
  • 8Hemami A, Polotski V. Path tracking control problem formulation of an LHD loader[ J]. The International Journal of Robotics Research, 1998,17:193-199.
  • 9Thnm S, Bennewitz M, Burgard W,et al. Minerva:a second-generation museum tour-guide robot [ A ]. IEEE Conference on Robotics and Automation [ C ]. Detroit, USA, 1999 : 1 999-2 005.
  • 10Thrun S, Burgard W, Fox D. A real-time algorithm for mobile robot mapping with applications to multi-robot and 3d mapping[ A ].1EEE Conference on Robotics and Automation [ C ]. San Francisco, USA, 2000:321-328.

共引文献19

同被引文献115

引证文献16

二级引证文献69

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