首页|无人机云地理围栏算法研究

无人机云地理围栏算法研究

扫码查看
随着无人机系统广泛应用,无人机飞行安全问题日益凸显;为满足无人机云对空域内无人机及时告警、高效管制需求,提出了一种无人机地理围栏算法;该算法预处理采用耳切法对水平围栏进行三角剖分,构建三角形邻接表;运行时周期性检测无人机是否位于围栏内部并产生边界违规告警;高度围栏采用高度边界限制检测,水平围栏基于邻接三角形法进行边界违规检测,其采用广度优先搜索来搜索包含无人机位置的三角形,搜索的起始节点基于上一次无人机所处的三角形;利用开发的模拟无人机云系统,进行了无人机水平匀速飞行仿真;仿真结果表明:该算法能够快速、准确地描述无人机违反地理围栏边界的状态,适用于同时包含禁出区和禁入区的三维地理围栏。
Research on UAV Cloud Geofencing Algorithm
With the wide application of unmanned aerial systems(UAS),unmanned aerial vehicle(UAV)flight safety is becom-ing more and more prominent;In order to meet the demand of UAV cloud on the timely warning and efficient control of UAVs in air-space,a UAV geofencing algorithm is proposed;The pre-processing of the algorithm adopts the ear clipping method to triangulate the horizontal fence,constructs the triangle adjacency table,periodically detects whether the drone is within the fence during the runtime,and generates boundary violation alarms;The altitude fence is adopted to detect the altitude boundary restriction,the horizontal fence based on adjacency triangle method is used to conduct the boundary violation detection,the breadth-first search method is adopted to search for the triangular areas with the location of UAV,and the starting point of the search is based on the triangle with the last lo-cation of the UAV;The developed UAV cloud system is used to carry out the UAV horizontal uniform flight simulation;The simula-tion results show that the algorithm can quickly and accurately describe the state of the UAV violating geofence boundaries,and it is simultaneously applicable to three-dimensional geofence with keep-in and keep-out regions.

UAVgeofencingflight securityboundary violation detectionear-clipping triangulation

李跃、高艳辉、郭剑东、邢倬巍

展开 >

南京航空航天大学自动化学院,南京 210016

南京航空航天大学中小型无人机先进技术工信部重点实验室,南京 210016

无人机 地理围栏 飞行安全 越界探测 耳切三角化

2024

计算机测量与控制
中国计算机自动测量与控制技术协会

计算机测量与控制

CSTPCD
影响因子:0.546
ISSN:1671-4598
年,卷(期):2024.32(7)
  • 7