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无人机SLAM技术在大管径深埋管道探测中的应用研究

Application of UAV slam technology in large diameter and deep buried pipeline detection
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摘要 市政工程建设中,准确查明工程范围内的各类地下管线,是工程实施的必要先决条件。目前,针对地下浅埋管线、通信等有空孔的小管径深埋非开挖管线,已有一套非常完善的探测方法,但对于大管径深埋管道,尤其是曲线顶管的排水箱涵,一直缺乏有效的物探手段。本文将无人机激光雷达SLAM技术应用于深埋排水管涵的探测中,通过对实际案例的应用分析,认为无人机SLAM技术在满足飞行条件的情况下能较好适用于大管径深埋管线的探测工作,且探测精度较高,为该类管线的探测提供了新思路。 In the construction of municipal engineering,it is a necessary prerequisite for the implementation of the project to accurately identify all kinds of underground pipelines within the scope of the project.At present,there is a set of very perfect detection methods for shallow buried underground pipelines,communication and other small diameter deep buried trenchless pipelines with empty holes.However,for large diameter deep buried pipelines,especially for drainage box culverts with curved pipe jacking,there are too many limited conditions and there has been a lack of effective geophysical exploration methods.In this paper,the UAV laser radar slam technology is Applied to the detection of deep buried drainage pipe culverts.Through the analysis of the Application of the actual case,it is considered that the UAV slam technology can be fully Applicable to the detection of large diameter deep buried pipelines under the condition of meeting the flight conditions,and the detection accuracy is high,which provides a new idea for the detection of such pipelines.
作者 韩沙沙 余祖锋 刘钢 Han Shasha;Yu Zufeng;Liu Gang(Shanghai Urban Construction Design and Research Institute,Shanghai 200125,China)
出处 《城市勘测》 2023年第S01期194-197,共4页 Urban Geotechnical Investigation & Surveying
关键词 SLAM技术 无人机 深埋管道探测 空间定位 SLAM technology Unmanned Aerial Vehicles Deep buried pipeline detection Spatialization
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  • 1危双丰,庞帆,刘振彬,师现杰.基于激光雷达的同时定位与地图构建方法综述[J].计算机应用研究,2020,37(2):327-332. 被引量:75
  • 2Smith R C, Cheeseman P. On the representation and estimationof spatial uncertainty[J]. International Journal of Robotics Research,1986, 5(4):56-68.
  • 3Smith R, Self M, Cheeseman P. Estimating uncertain spatialrelationships in robotics[M] //Autonomous Robot Vehicles. NewYork: Springer, 1990: 167-193.
  • 4Durrant-Whyte H, Bailey T. Simultaneous localization andmapping: Part I[J]. IEEE Robotics & Automation Magazine,2006, 13(2): 99-110.
  • 5Bailey T, Durrant-Whyte H. Simultaneous localization andmapping(SLAM): Part II[J]. IEEE Robotics & AutomationMagazine, 2006, 13(3): 108-117.
  • 6Hartley R, Zisserman A. Multiple view geometry in computervision[M]. Cambridge: Cambridge University Press, 2004.
  • 7Aulinas J, Petillot Y R, Salvi J, et al. The SLAM problem: asurvey[J]. CCIA, 2008, 184(1): 363-371.
  • 8Ros G, Sappa A, Ponsa D, et al. Visual SLAM for driverlesscars: a brief survey[C] //Proceedings of IEEE Workshop onNavigation, Perception, Accurate Positioning and Mapping forIntelligent Vehicles. Los Alamitos: IEEE Computer SocietyPress, 2012: Article No.3.
  • 9Triggs B, Mclauchlan P F, Hartley R I, et al. Bundle adjustment -a modern synthesis[C] //Proceedings of International Workshopon Vision Algorithms: Theory and Practice. Heidelberg: Springer,1999: 298-372.
  • 10Indelman V, Williams S, Kaess M, et al. Information fusion innavigation systems via factor graph based incremental smoothing[J]. Robotics and Autonomous Systems, 2013, 61(8): 721-738.

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