摘要
为了加强交通枢纽调度系统中实时三维模型生成精度,在原有地面激光点云系统基础上,引入无人机影像点云配准系统。该研究重点讨论了系统的信号保障体系和数据处理方案,在现场实测中,发现个案大型机场停机坪调度工作中并未因为引入无人机而带来额外调度压力,反而带来更精确的建模成果,且充分提升了调度效率,使机场特情事故发生概率显著降低。最终认为该系统可以在大型交通枢纽调度体系中全面普及应用。
In order to enhance the accuracy of real-time 3D model generation in transportation hub dispatching system,UAV image point cloud registration system is introduced based on the original ground laser point cloud system.The research focuses on the signal support system and data processing scheme of the system.In the field measurement,it is found that the introduction of UAV does not bring additional dispatching pressure in the apron dispatching of a large airport,but brings more accurate modeling results,and fully improves the dispatching efficiency and significantly reduces the probability of airport special accidents.Finally,it is considered that the system can be widely used in large-scale transportation hub dispatching system.
作者
王博
WANG Bo(Chongqing Survey Institute,Chongqing 400021,China)
出处
《测绘与空间地理信息》
2022年第8期216-219,共4页
Geomatics & Spatial Information Technology
关键词
无人机
激光点云
配准系统
三维建模
交通枢纽调度系统
UAV
laser point cloud
registration system
3D modeling
transportation hub dispatching system