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基于深度学习的避障自主无人机,基于信托标记器的定位,用于结构性健康监测

Ali Waqas1, Dongho Kang2, Young-Jin Cha1

  • 1Department of Civil Engineering, University of Manitoba, Winnipeg, MB, Canada.

Structural health monitoring
|February 26, 2024
PubMed
概括

本研究介绍了用于结构健康监测 (SHM) 的先进自主无人飞行器 (UAV) 系统. 它具有基于深度学习的新障碍回避方法 (OAM) 和信托标记本地化,用于在GPS被拒绝的环境中可靠的导航.

关键词:
自动驾驶飞行自动驾驶飞行自动驾驶飞行在GPS拒绝的区域.无人机局部化的UAV定位.损害细分 损害细分深度学习是一种深度学习.避免障碍的算法避免障碍的算法无人驾驶飞机系统 无人驾驶飞机系统

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Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device01:30

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Surveyors use Global Positioning System (GPS) technology to measure the precise location and elevation of points on Earth. In a recent survey, GPS receivers were used to determine the coordinates and elevations of two park monuments. The process involved careful mission planning, data collection, and correction to ensure accuracy. The survey began with mission planning to identify optimal satellite visibility and minimize Position Dilution of Precision (PDOP). A geodetic control point...
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