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Unmanned System Design with Emphasis on Fire Recognition

机译:无人驾驶系统设计强调消防识别

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Governments around the world are beginning to recognize the value of unmanned machines both in industry and in warfare. Heightened interest in this field has spawned robot competitions such as FIRST, TAVIS, MicroMouse and others. This paper describes the University of Central Florida's entry to the AUVSI Aerial Robotics Competition. We present a novel four-engine air vehicle design that uses no control surfaces. Based on the Hiller Flying Platform [1] and the Dragonflyer [2], this ducted vehicle varies its engine speeds to affect pitch, roll, yaw, and overall thrust. The ground vehicle mechanical design is documented in section 3, including finite element models of two key parts. The focus of this paper is automatic fire detection in video images. Our system uses color and motion information gained from video sequences to locate fire. Unlike previous methods, our algorithm is insensitive to camera motion.
机译:世界各国政府开始认识到非人机在行业和战争中的价值。在这一领域的兴趣提高了催生机器人比赛,例如第一,Tavis,Micromouse等。本文介绍了佛罗里达州中部大学进入Auvsi空中机器人竞赛的进入。我们提出了一种新型的四发动机空气车辆设计,无需控制表面。基于Hiller飞行平台[1]和Dragonflyer [2],这种管道的车辆因其发动机速度而异,以影响音高,滚动,偏航和整体推力。在第3节中记录了地面车辆机械设计,包括两个关键部件的有限元模型。本文的重点是视频图像中的自动火灾检测。我们的系统使用从视频序列中获得的颜色和运动信息来定位火灾。与以前的方法不同,我们的算法对相机运动不敏感。

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