摘要
为解决城市低空无人机飞行航路规划中的障碍物探测和安全检测底图构建问题,本文提出了一种基于实景三维数据的安全检测底图构建方法。该方法利用北斗格网对实景三维模型数据进行空间划分,获取每个网格内的最高值,生成栅格和矢量格式的安全检测底图。与原始实景三维模型相比,生成的数据体量减少500~1000倍,极大节省了空间分析所需时间;同时保留了地物关键高度信息,切实保障了城市复杂区域的超低空飞行安全;局部区域发生变化时,仅需替换对应网格即可实现数据更新,工作量小。试验验证表明,本文方法可高效构建用于无人机低空飞行的安全检测底图。
To address the obstacle detection and safety baseline construction issues in unmanned aerial vehicle(UAV)low-altitude flight path planning in urban areas,this paper proposes a method for constructing safety baselines based on real-scene 3D data.This method utilizes the BeiDou grid to spatially divide the real-scene 3D model data,obtains the maximum height value within each grid,and generates safety baselines in both raster and vector formats.Compared with the original real-scene 3D model,the data volume of the generated baselines is reduced by 500~1000 times,greatly saving the time required for spatial analysis.Additionally,it preserves the key elevation information of geographical features,ensuring the safety of ultra-low-altitude flights in complex urban areas.When changes occur in local areas,only the corresponding grids need to be replaced for data updates,minimizing the workload.The trial verification in the main urban area of Qingdao city demonstrates that this method can efficiently construct safety baselines for lowaltitude UAV flights.
作者
丁晓龙
胡振彪
王斌斌
王刚
DING Xiaolong;HU Zhenbiao;WANG Binbin;WANG Gang(Qingdao Surveying&Mapping Institute,Qingdao 266000,China;National-local Joint Engineering Research Center of Integration and Application of Marine-terrestrial Geographical Information,Qingdao 266000,China)
出处
《测绘通报》
CSCD
北大核心
2024年第S01期57-60,共4页
Bulletin of Surveying and Mapping
关键词
低空飞行
实景三维
航路规划
UAV
碰撞检测
low-altitude flight
real-scene 3D
flight path planning
UAV
collision detection
