基于视觉的差分全球定位系统确保无人机的精确自主着陆

P. Marcon, J. Janousek, R. Kadlec
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引用次数: 9

摘要

介绍了一种用于无人机的精确着陆系统。在设计方案时,我们特别注意了各种传感器所需的精度。该系统包括一个高精度飞行控制器和一个用于目标检测或实时运动学(RTK)定位模块的视觉传感器。该平台是为集成各类无人机而构建的。利用光学摄像机对着陆平台进行视觉跟踪,提高了着陆的可靠性。在检测特殊设计的着陆平台时,通过图像分析提供无人机在着陆时的精确位置。所有精确着陆制导的计算都直接在舰上进行。红外摄像机是监测红外光束的主要传感器。这种飞机制导技术不需要在着陆站之间进行数据传输。RTK GPS (Real Time Kinematic Global Positioning System,实时运动全球定位系统)是一种较为复杂而昂贵的系统,可以代替视觉传感器。使用一架六旋翼无人机进行试飞,然后对获得的结果进行比较。该地点的导航最初仅通过GPS传感器进行了测试,但随后的测试飞行已经依赖于视觉传感器和RTK GPS模块。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Vision-Based and Differential Global Positioning System to Ensure Precise Autonomous Landing of UAVs
This paper presents a precision landing system for unmanned aerial vehicles (UAVs). When designing the solution, we paid special attention to the required accuracy of the various sensors. The system comprises a highly accurate flight controller and a visual sensor for object detection or Real Time Kinematic (RTK) positioning module. The platform is constructed to integrate into various types of unmanned aerial vehicles. The method for the visual tracking of the landing platform via an optical camera enables us to increase the landing reliability. The precise position of the unmanned aerial vehicle at landing is provided by an image analysis where the specially designed landing platform is detected. All calculations for precision landing guidance are performed directly on board. An infrared (IR) camera is used as the main sensor for monitoring the IR light beam. This aircraft guidance technique does not necessitate data transfer to and from the landing station. More complex but expensive systems is RTK GPS (Real Time Kinematic Global Positioning System) which can be suitable solution to replace visual sensor. A hexacopter drone was used for the test flights, and the results obtained were then subjected to comparison. The navigation to the location was first tested by a GPS sensor only, subsequent tests flights, however, already relied on a visual sensor and RTK GPS module.
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