Nguyen Phong Ha, Kim Ki Wan, Lee Young Won, Park Kang Ryoung
Division of Electronics and Electrical Engineering, Dongguk University, 30 Pildong-ro 1-gil, Jung-gu, Seoul 100-715, Korea.
Sensors (Basel). 2017 Aug 30;17(9):1987. doi: 10.3390/s17091987.
Unmanned aerial vehicles (UAVs), which are commonly known as drones, have proved to be useful not only on the battlefields where manned flight is considered too risky or difficult, but also in everyday life purposes such as surveillance, monitoring, rescue, unmanned cargo, aerial video, and photography. More advanced drones make use of global positioning system (GPS) receivers during the navigation and control loop which allows for smart GPS features of drone navigation. However, there are problems if the drones operate in heterogeneous areas with no GPS signal, so it is important to perform research into the development of UAVs with autonomous navigation and landing guidance using computer vision. In this research, we determined how to safely land a drone in the absence of GPS signals using our remote maker-based tracking algorithm based on the visible light camera sensor. The proposed method uses a unique marker designed as a tracking target during landing procedures. Experimental results show that our method significantly outperforms state-of-the-art object trackers in terms of both accuracy and processing time, and we perform test on an embedded system in various environments.
无人驾驶飞行器（UAVs），通常被称为无人机，已被证明不仅在载人飞行被认为风险太大或困难的战场上有用，而且在日常生活用途中也很有用，如监视、监测、救援、无人货运、航空视频和摄影。更先进的无人机在导航和控制回路中使用全球定位系统（GPS）接收器，这使得无人机导航具有智能GPS功能。然而，如果无人机在没有GPS信号的异构区域运行，就会出现问题，因此研究使用计算机视觉进行自主导航和着陆引导的无人机开发非常重要。在这项研究中，我们确定了如何使用基于可见光相机传感器的远程基于标记的跟踪算法在没有GPS信号的情况下安全降落无人机。所提出的方法在着陆过程中使用一种独特的标记作为跟踪目标。实验结果表明，我们的方法在准确性和处理时间方面都明显优于现有最先进的目标跟踪器，并且我们在各种环境下的嵌入式系统上进行了测试。
