Visualization Subsystem of the Software Package for Searching People and Vehicles Using Unmanned Aerial Vehicles

D. Bulatitskiy, A. Selifontov
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Abstract

Unmanned aerial vehicles (UAVs) can be used to improve the efficiency of searching for missing people and vehicles in the natural environment. However, the use of UAVs alone may not be enough. To get a tangible effect, the authors of the article are developing a software package that includes a neural network core for processing images from UAVs, a web interface for the coordinator of the search operation and a mobile application for members of search groups working on the ground. The article substantiates the importance of the visualization subsystem for the software package being developed. The data output for the coordinator of the search operation and the participants of the search groups working on the ground are systematized. The following types of data are highlighted: information about the search area and the search targets; information about the image sets from flights and about image analysis; information about the participants of the search operation; information about the progress of the search operation; data about the search operation for a member of the search group; data on the results of search operations. Approaches to visualization of the listed data are described, interface elements for their visualization are selected and developed. Improvements to the software package are proposed and implemented considering the requirements for visualization.
无人机搜索人车软件包可视化子系统
利用无人机(uav)可以提高在自然环境中寻找失踪人员和失踪车辆的效率。然而,仅使用无人机可能还不够。为了获得切实的效果,这篇文章的作者正在开发一个软件包,其中包括一个用于处理无人机图像的神经网络核心,一个用于搜索操作协调器的网络界面,以及一个用于地面搜索小组成员的移动应用程序。本文论证了可视化子系统对正在开发的软件包的重要性。为搜索操作的协调者和在地面工作的搜索小组的参与者提供的数据输出是系统化的。突出显示以下类型的数据:关于搜索区域和搜索目标的信息;关于飞行图像集和图像分析的信息;有关搜寻行动参与者的资料;有关搜寻行动进展的资料;关于搜索组成员的搜索操作的数据;关于搜索操作结果的数据。描述了列表数据的可视化方法,选择并开发了用于其可视化的接口元素。考虑到可视化的需求,提出并实现了对软件包的改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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