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Designing a spatially aware, automated quadcopter using an Android control system

机译:使用Android控制系统设计空间意识的自动Quadcopter

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Intelligence gathering is a critical component of military operations. Unmanned aerial vehicles (UAVs) have become an increasingly useful tool due to their surveillance and reconnaissance capabilities. However, the use of many of these vehicles is limited to outdoor environments because of their size and reliance on Global Positioning Satellites (GPS). Knowledge of indoor environments is important so that the risk of entering an unsafe or unknown building can be minimized. This paper describes the development of a spatially aware, autonomous quadcopter that uses an Android control system and functions indoors. The system consists of a laser rangefinder for sensory input, a IOIO microcontroller for data communication across platforms, an autopilot system (APM) for flight control, and an Android phone for mission control. The Android Control and Sensor System (ACSS) is currently being developed by the Department of Defense (DOD), MITRE, and academic partners, and will be integrated into the solution. To be considered autonomous, the quadcopter must be able to make a map from the data provided by the laser rangefinder, determine its own location and position in that map, and then execute a set of navigational commands from the Android control system. The success of this project is measured by the system's ability to travel autonomously while simultaneously creating a map and being aware of its location.
机译:情报集合是军事行动的关键组成部分。由于监视和侦察能力,无人驾驶飞行器(无人机)已成为越来越有用的工具。然而,由于它们的尺寸和依赖于全球定位卫星(GPS),许多车辆的使用仅限于室外环境。对室内环境的知识很重要,以便可以最小化进入不安全或未知建筑的风险。本文介绍了在室内使用Android控制系统和功能的空间意识到的自主Quadcopter的开发。该系统由用于感觉输入的激光测距仪组成,用于平台的平台数据通信的IOIO微控制器,飞行控制的自动驾驶系统(APM)以及用于任务控制的Android手机。 Android控制和传感器系统(ACSS)目前正在由国防部(国防部),梅斯和学术合作伙伴开发,并将集成到解决方案中。要被认为是自主的,必须能够从激光测距仪提供的数据中进行地图,确定其自己的位置和位置,然后从Android控制系统执行一组导航命令。该项目的成功是通过系统自主旅行的能力来衡量,同时创建地图并意识到其位置。

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