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A UAV system for autonomous target detection and gas sensing

机译:一种用于自主目标检测和气体传感的无人机系统

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摘要

Monitoring of environmental gases is a demanding task that can require long periods of observation and large numbers of sensors. Unmanned Aerial Vehicles (UAVs) presently represent a suitable alternative to monitor large, remote, and difficult to access areas. Due to the wide range and diversity of shape and size, UAVs now possess the capability of carrying specialized sensor modules that can accurately monitor gas concentrations. This paper describes the design and flight testing of a UAV which carries an on-board camera and a carbon dioxide gas sensor and is capable of autonomous gas sensing while simultaneously visually detecting predefined targets placed at locations inside a room. The detection system autonomously navigates around the flight area using a waypoint navigation system and hovers for 10 seconds once the target has been visually identified taking Air Quality (AQ) samples as it does so. Laboratory, bench and field test results demonstrate the capability of the UAV to detect targets placed in a room and analyse the air quality of samples taken during flight above the target. The data collected during the flight is transmitted, in real time, back to a Ground Control Station (GCS) for visualisation and analysis, where 3D mapping of the target location and gas concentration is presented via a web interface. Test cases verify the capability of the subsystem’s integration and the operation of the UAV system as a whole. The image processing algorithm used for the target detection, based on a cascade method, proved to be dependent on the frame transmission rates, which can make the software considerably slower. The developed system provides an effective monitoring system and can be used in a wide range of applications such as gas leaks, fires, and mining applications and if converted for use in an outdoor environment, applications such as agriculture biomass burning emissions and chemical and biological agent detection studies. The system could be used in conjunction with ground sensors and integrated into an extensive gas monitoring system.
机译:监测环境气体是一项艰巨的任务,可能需要长时间观察和大量传感器。当前,无人飞行器(UAV)是监视大型,偏远和难以进入区域的合适选择。由于形状和尺寸的广泛范围和多样性,无人飞行器现在具有携带能够精确监控气体浓度的专用传感器模块的能力。本文介绍了无人机的设计和飞行测试,该无人机带有机载摄像头和二氧化碳气体传感器,能够自动进行气体感应,同时可以可视地检测放置在室内位置的预定目标。检测系统使用航点导航系统自动在飞行区域周围导航,并在视觉上识别出目标并采集空气质量(AQ)样本后徘徊10秒钟。实验室,工作台和现场测试结果证明了无人机能够检测放置在室内的目标并分析在目标上方飞行过程中采集的空气质量。飞行中收集的数据实时传输回地面控制站(GCS)以进行可视化和分析,在此通过Web界面显示目标位置和气体浓度的3D映射。测试用例验证了子系统集成的能力以及整个无人机系统的运行。基于级联方法的用于目标检测的图像处理算法被证明依赖于帧传输速率,这会使软件速度大大降低。所开发的系统提供了有效的监控系统,可用于多种应用,例如气体泄漏,火灾和采矿应用;如果转换为在室外环境中使用,则可用于农业生物质燃烧排放物以及化学和生物制剂等应用检测研究。该系统可与地面传感器结合使用,并集成到广泛的气体监测系统中。

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