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An auto-landing strategy based on pan-tilt based visual servoing for unmanned aerial vehicle in GNSS-denied environments

机译:基于PAN倾斜的VISENED航空车辆在GNSS拒绝环境中的自动着陆策略

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This paper proposes an unmanned aerial vehicle (UAV) rapid autonomous landing strategy in GNSS-denied environments using pan-tilt based visual servoing (PTBVS) system. First, we propose a PTBVS system for navigating the UAV landing on a square platform. Through the status of the airborne camera and image information, the relative position information between the UAV and landing point can be obtained for navigation. Second, we made the UAV move horizontally and vertically at the same time when returning, which greatly shortens the flight distance and reduces the landing time. Moreover, in different landing stages, we adopt different positioning information acquisition methods. When the UAV is approaching the landing point, it uses the PTBVS system for navigation. Instead, it uses the pixel coordinate offset of the landing point to further improve the landing accuracy when landing vertically. Finally, we put forward the PTZ and UAV control algorithm. The PTZ control which keeps the landing point in the center range of the image consists of the time delay and PID control. And the UAV control guides the UAV to return and land. We test the proposed landing algorithm in the simulation platform and the actual environment. It is proved that the proposed method can bring the UAV earlier visual foresight, less landing time, and higher landing accuracy. (C) 2021 Elsevier Masson SAS. All rights reserved.
机译:本文采用基于PAN倾斜的视觉伺服(PTBVS)系统,提出了一种无人驾驶飞行器(UAV)在GNSS拒绝环境中的快速自主着陆策略。首先,我们提出了一个用于在方形平台上导航UAV降落的PTBVS系统。通过空中相机和图像信息的状态,可以获得UAV和着陆点之间的相对位置信息以用于导航。其次,我们使UAV在返回时同时水平和垂直移动,这大大缩短了飞行距离并减少了降落时间。此外,在不同的着陆阶段,我们采用不同的定位信息采集方法。当UAV接近着陆点时,它将使用PTBVS系统进行导航。相反,它使用着陆点的像素坐标偏移,以在垂直着陆时进一步提高着陆精度。最后,我们提出了PTZ和UAV控制算法。将着陆点保持在图像的中心范围内的PTZ控制包括时间延迟和PID控制。和UAV控制指导无人机返回和土地。我们在仿真平台和实际环境中测试所提出的着陆算法。事实证明,该方法可以将UAV早期的视觉远见,降落时间较少,降落准确较高。 (c)2021 Elsevier Masson SAS。版权所有。

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