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Autonomous Unmanned Air Vehicles (UAV) Techniques

机译:自主无人飞行器(UAV)技术

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The UAVs (Unmanned Air Vehicles) have great potentials in different civilian applications, such as oil pipeline surveillance, precision farming, forest fire fighting (yearly), search and rescue, boarder patrol, etc. The related industries of UAVs can create billions of dollars for each year. However, the road block of adopting UAVs is that it is against FAA (Federal Aviation Administration) and ATC (Air Traffic Control) regulations. In this paper, we have reviewed the latest technologies and researches on UAV navigation and obstacle avoidance. We have purposed a system design of Jittering Mosaic Image Processing (JMIP) with stereo vision and optical flow to fulfill the functionalities of autonomous UAVs.
机译:无人机在各种民用应用中具有巨大的潜力,例如石油管道监控,精确农业,森林消防(每年),搜救,登机巡逻等。无人机的相关产业可以创造数十亿美元的价值。每年。但是,采用无人机的障碍在于它违反了FAA(联邦航空管理局)和ATC(空中交通管制)法规。在本文中,我们回顾了无人机导航和避障的最新技术和研究。我们旨在实现具有立体视觉和光流的抖动马赛克图像处理(JMIP)系统设计,以实现自主无人机的功能。

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