{"title":"Efficient Immersive Surveillance of Inaccessible Regions using UAV Network","authors":"Anuj Bist, Chetna Singhal","doi":"10.1109/INFOCOMWKSHPS51825.2021.9484539","DOIUrl":null,"url":null,"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.","PeriodicalId":109588,"journal":{"name":"IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INFOCOMWKSHPS51825.2021.9484539","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.