本文探讨了如何利用同时定位与地图构建(simultaneous localization and mapping, SLAM)技术,通过无人机在井下复杂环境中进行高精度的三维激光扫描与建模。SLAM技术是一种机器人技术,使得设备能够在未知环境中构建地图的同时进行自我定...本文探讨了如何利用同时定位与地图构建(simultaneous localization and mapping, SLAM)技术,通过无人机在井下复杂环境中进行高精度的三维激光扫描与建模。SLAM技术是一种机器人技术,使得设备能够在未知环境中构建地图的同时进行自我定位,从而提高环境感知和导航能力。在井下空区,由于环境复杂且充满未知因素,传统的测绘技术面临极大的挑战,因此采用SLAM技术配合无人机操作可提供一种新的有效解决方案。本文系统阐述了SLAM技术在无人机井下三维激光扫描中的应用,包括无人机的设计、数据收集与分析方法、集成设计及三维建模结果的优化,并通过实地测试验证了该技术的实用性与效果。展开更多
Underground coal mining inevitably results in land surface subsidence.Acquiring information on land surface subsidence is important in the detection of surface change.However,conventional data acquisition techniques c...Underground coal mining inevitably results in land surface subsidence.Acquiring information on land surface subsidence is important in the detection of surface change.However,conventional data acquisition techniques cannot always retrieve information on whole subsidence area.This study focuses on the reconstruction of a digital elevation model（DEM） with terrestrial laser scanning（TLS） point cloud data.Firstly,the methodology of the DEM with terrestrial 3-dimensional laser scanning is introduced.Then,a DEM modeling approach that involves the application of curved non-uniform rational B-splines（NURBS） surface is put forward.Finally,the performance of the DEM modeling approach with different surface inverse methods is demonstrated.The results indicate that the DEM based on the point cloud data and curved NURBS surface can achieve satisfactory accuracy.In addition,the performance of the hyperbolic paraboloid appears to be better than that of the elliptic paraboloid.The reconstructed DEM is continuous and can easily be integrated into other programs.Such features are of great importance in monitoring dynamic ground surface subsidence.展开更多
文摘本文探讨了如何利用同时定位与地图构建(simultaneous localization and mapping, SLAM)技术,通过无人机在井下复杂环境中进行高精度的三维激光扫描与建模。SLAM技术是一种机器人技术,使得设备能够在未知环境中构建地图的同时进行自我定位,从而提高环境感知和导航能力。在井下空区,由于环境复杂且充满未知因素,传统的测绘技术面临极大的挑战,因此采用SLAM技术配合无人机操作可提供一种新的有效解决方案。本文系统阐述了SLAM技术在无人机井下三维激光扫描中的应用,包括无人机的设计、数据收集与分析方法、集成设计及三维建模结果的优化,并通过实地测试验证了该技术的实用性与效果。
基金Project(51174206)supported by the National Natural Science Foundation of ChinaProject(2014ZDPY29)supported by the Fundamental Research Funds for the Central UniversitiesProject(SZBF 2011-6-B35)supported by the Priority Academic Program Development of Higher Education Institutions(PAPD)of Jiangsu Province,China
文摘Underground coal mining inevitably results in land surface subsidence.Acquiring information on land surface subsidence is important in the detection of surface change.However,conventional data acquisition techniques cannot always retrieve information on whole subsidence area.This study focuses on the reconstruction of a digital elevation model（DEM） with terrestrial laser scanning（TLS） point cloud data.Firstly,the methodology of the DEM with terrestrial 3-dimensional laser scanning is introduced.Then,a DEM modeling approach that involves the application of curved non-uniform rational B-splines（NURBS） surface is put forward.Finally,the performance of the DEM modeling approach with different surface inverse methods is demonstrated.The results indicate that the DEM based on the point cloud data and curved NURBS surface can achieve satisfactory accuracy.In addition,the performance of the hyperbolic paraboloid appears to be better than that of the elliptic paraboloid.The reconstructed DEM is continuous and can easily be integrated into other programs.Such features are of great importance in monitoring dynamic ground surface subsidence.
