Efficient Immersive Surveillance of Inaccessible Regions using UAV Network

Anuj Bist, Chetna Singhal
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引用次数: 1

Abstract

In this paper, we propose a Real-Time Immersive Surveillance System with a reduced number of Unmanned Aerial Vehicles (UAVs) required to cover any inaccessible area for video surveillance. To start with, we have developed a twin servo based camera assembly which is capable to move in horizontal and vertical axis (Pan and Tilt) providing us flexibility to change our field of view without physically moving the UAV. The movable assembly for sensor can be controlled in two ways - Auto mode and Movement Based on accelerometer data of mobile phone. The Real Time video feed can be viewed on Big screens as well as on HMDs (Head Mounted Displays) using mobile phones. Furthermore, a holistic view of this area can be created using feed from multiple drones, which provides an immersive experience. The maximum distance between GCS and Anchor UAV have been obtained experimentally based on acceptable packet loss and Quality-of-Experience (QoE) for video streaming. In order to minimise the number of drones to cover the entire area, we have utilised the capability of this movable camera setup. To calculate the area covered in various position of sensor, the concept of Field of View (FOV) of the on-board camera has been used. We have also discussed the necessary limitations of the extent of camera movement and the camera setup.
利用无人机网络对不可达区域进行高效沉浸式监控
在本文中,我们提出了一种实时沉浸式监控系统,该系统减少了无人驾驶飞行器(uav)的数量,可以覆盖任何无法进入的视频监控区域。首先,我们开发了一个基于双伺服的相机组件,它能够在水平和垂直轴(平移和倾斜)上移动,为我们提供了灵活性,可以在不物理移动无人机的情况下改变我们的视野。传感器可移动组件有两种控制方式:自动模式和基于手机加速度计数据的移动模式。实时视频可以在大屏幕上观看,也可以用手机在头戴式显示器上观看。此外,可以使用多架无人机的馈送创建该区域的整体视图,从而提供身临其境的体验。基于可接受的丢包率和视频流体验质量(QoE),通过实验获得了GCS与Anchor无人机之间的最大距离。为了最大限度地减少覆盖整个区域的无人机数量,我们利用了这种可移动摄像机装置的功能。为了计算传感器在不同位置所覆盖的面积,采用了车载摄像机的视场概念。我们还讨论了相机移动范围和相机设置的必要限制。
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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