Visual line tracking with vector field guidance for UAV

K. Koksal, D. Surucu, M. Surucu, R. Hacıoğlu
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引用次数: 4

Abstract

In this study, it is aimed to follow a visual route by an Unmanned Aerial Vehicle (UAV). The recognition of the predetermined line by using image processing algorithms and the process of following the route by using the method of Tangent Vector Field Guidance (TVFG) have been performed in indoor and outdoor experiments. UAV s following the correct route has been ensured by calculating the deflection caused by some factors such as wind and light which adversely affect the flight of UAV. In Vector Field Guidance method, the direction angles calculated by using the vector fields that will follow the line-shaped guide path are used. When the path to be followed has more than one direction instead of a single straight line, it is divided into sections which consist of straight lines, and by prioritizing these lines, the most dominant line is followed. In this study, it is aimed to provide a dynamic model by considering the tracking errors. As a result of the process adopted, UAV's autonomous flight is achieved by using the visual inputs and TVFG method, and the external disturbing factors are investigated.
基于矢量场制导的无人机视线跟踪
在本研究中,无人驾驶飞行器(UAV)的目标是遵循视觉路线。在室内和室外实验中分别进行了图像处理算法对预定线路的识别和切矢量场引导(TVFG)方法的路线跟踪过程。通过对影响无人机飞行的风、光等因素引起的偏转进行计算,保证了无人机遵循正确的航路。在矢量场制导方法中,利用矢量场计算出的方向角将沿着线形制导路径运行。当要遵循的路径有多个方向而不是一条直线时,它被分成由直线组成的部分,通过优先考虑这些线,最主要的路线被遵循。在本研究中,旨在提供一个考虑跟踪误差的动态模型。采用视觉输入和TVFG方法实现了无人机的自主飞行,并对外部干扰因素进行了研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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