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Finding smoothness area on the topographic maps for the unmanned aerial vehicle's landing site estimation

机译:在地形图上找到平滑区域,以进行无人机着陆点估计

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In this study, determining of the suitable landing areas on the topographical maps were determined for emergency landing of the Unmanned Air Vehicles (UAVs) during flight. In order to reach desired goals of this work, Shuttle radar topography mission maps (SRTM) was used. Nowodays, UAV have been intensively used in civillian and military applications. There are urgent needs on increasing of autonomy of the UAVs, decreasing human expertise and making smarter of UAV systems has become an inevitable necessity. Unexpectable stiuations (i.e. motor or comminatication failure, etc...) can arise while missions of the UAV. Emergency landing system must be activated by autonomously and then landed on the ground in safely while occuring some failure mentioned above. Two different techniques were chosed for determining probable landing areas by using digital elevation maps (SRTM). Firstly, surface fitting approximation was applied by using Least Squares Error (LSE). The slope of the points were calculated to specify of the smoothness rate of the landing areas. Smooth areas were signed by using SRTM datas. Image processing techniques were utilized for marking of the smooth areas and determinig boundries of the landing areas. The smooth landing areas were groupped with Blob analysis. The noise of the ground specified as landing areas were reduced with morphological image processing (performs morphological openning). UAVs system can be made smarter with specifying of the landing areas and planning of the path according to emergency cases. With designed systems, the UAV could be guided to the suitable landing zones vice versa undesirable areas by limiting of the landing path in the emergency cases of the UAV.
机译:在这项研究中,确定了地形图上合适的着陆区域,以确定无人飞行器(UAV)在飞行过程中的紧急着陆。为了达到这项工作的预期目标,使用了航天飞机雷达地形任务图(SRTM)。如今,无人机已广泛用于民用和军事应用。迫切需要增加无人机的自主性,减少人员的专业知识以及使无人机系统更智能化已成为必然的需求。无人机执行任务时可能会出现意料之外的刺激(例如电动机或通讯故障等)。紧急着陆系统必须自动启动,然后在发生上述某些故障时安全地着陆。通过使用数字高程图(SRTM)选择了两种不同的技术来确定可能的着陆区域。首先,通过使用最小二乘误差(LSE)来应用表面拟合近似。计算点的斜率以指定着陆区的平滑率。使用SRTM数据对平滑区域进行签名。图像处理技术被用于标记着陆区域的平滑区域和确定边界。平滑的着陆区域通过Blob分析进行分组。通过形态图像处理(执行形态开放),减少了被指定为着陆区的地面的噪音。通过指定紧急着陆区域和规划路径,可以使无人机系统变得更智能。在设计好的系统中,通过限制无人机在紧急情况下的着陆路径,可以将无人机引导到合适的着陆区,反之亦然。

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