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Vision-Based and Differential Global Positioning System to Ensure Precise Autonomous Landing of UAVs

机译:基于视觉的差分全球定位系统,确保无人机精确自主着陆

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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.
机译:本文提出了一种用于无人机的精确着陆系统。在设计解决方案时,我们特别注意各种传感器的精度要求。该系统包括高度精确的飞行控制器和用于物体检测的视觉传感器或实时运动(RTK)定位模块。该平台可集成到各种类型的无人机中。通过光学相机对着陆平台进行可视跟踪的方法使我们能够提高着陆可靠性。无人机在着陆时的精确位置是通过图像分析来提供的,该图像分析可以检测到专门设计的着陆平台。精确着陆指导的所有计算都直接在船上执行。红外(IR)摄像机用作监视红外光束的主要传感器。这种飞机制导技术无需将数据传输到降落站或从降落站传输数据。更复杂但价格昂贵的系统是RTK GPS(实时运动全球定位系统),可以替代视觉传感器。使用六旋翼无人机进行试飞,然后将获得的结果进行比较。到该位置的导航首先仅由GPS传感器进行测试,但是随后的测试飞行已经依赖于视觉传感器和RTK GPS模块。

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