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Multirotor UAV sensor fusion for precision landing

机译:多旋翼无人机传感器融合以精确着陆

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Purpose - In relation to rapid development of possible applications of unmanned vehicles, new opportunities for their use are emerging. Among the most dynamic, we can distinguish package shipments, rescue and military applications, autonomous flights and unattended transportation. However, most of the UAV solutions have limitations related to their power supplies and the field of operation. Some of these restrictions can be overcome by implementing the cooperation between unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs). The purpose of this paper is to explore the problem of sensor fusion for autonomous landing of a UAV on the UGV by comparing the performance of precision landing algorithms using different sensor fusions to have precise and reliable information about the position and velocity.Design/methodology/approach - The difficulties in this scenario, among others, are different coordination systems and necessity for sensor data from air and ground. The most suitable solution seems to be the use of widely available Global Navigational Satellite System (GNSS) receivers. Unfortunately, the position measurements obtained from cheap receivers are encumbered with errors when desiring precision. The different approaches are based on the usage of sensor fusion of Inertial Navigation System and image processing. However most of these systems are very vulnerable to lightning.Findings - In this paper, methods based on an exchange of telemetry data and sensor fusion of GNSS, infrared markers detection and others are used. Different methods are compared.Originality/value - The subject of sensor fusion and high-precision measurements in reference to the autonomous vehicle cooperation is very important because of the increasing popularity of these vehicles. The proposed solution is efficient to perform autonomous landing of UAV on the UGV.
机译:目的-关于迅速发展无人驾驶车辆的可能用途,正在出现使用它们的新机会。在最动态的情况下,我们可以区分包裹运输,救援和军事应用,自动飞行和无人值守运输。但是,大多数无人机解决方案在电源和操作领域方面都有局限性。这些限制中的某些可以通过在无人机和无人机之间进行协作来克服。本文的目的是通过比较使用不同传感器融合的精确着陆算法的性能,以获取有关位置和速度的精确和可靠信息,从而探索无人机在无人机上自动着陆的传感器融合问题。设计/方法/方法-这种情况下的困难尤其是不同的协调系统以及从空中和地面获取传感器数据的必要性。最合适的解决方案似乎是使用广泛可用的全球导航卫星系统(GNSS)接收器。不幸的是,当需要精度时,从廉价接收器获得的位置测量会受到误差的困扰。不同的方法基于惯性导航系统的传感器融合和图像处理的使用。但是,这些系统大多数都非常容易遭受雷击。结果-在本文中,使用了基于遥测数据交换和GNSS传感器融合,红外标记检测等方法。比较了不同的方法。原始数据/值-涉及自动驾驶车辆合作的传感器融合和高精度测量的主题非常重要,因为这些车辆越来越受欢迎。所提出的解决方案对于在UGV上自动执行无人机降落是有效的。

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