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首页> 外文期刊>Computers and Electronics in Agriculture >Development of a positioning system using UAV-based computer vision for an airboat navigation in paddy field
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Development of a positioning system using UAV-based computer vision for an airboat navigation in paddy field

机译:基于UV基于稻田航空航线的汽船导航的汽船导航的定位系统开发

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Currently, a few agricultural corporations are developing and producing a kind of radio-controlled agricultural airboat which could be used to weed and fertilize instead of human in the paddy fields. The authors improved the airboat realizing autonomous navigation by a global-positioning-system (GPS) compass in the previous research. To solve the limitation of GPS-based navigation in bad environment (e.g., areas with tall trees, bad weather conditions, etc.), a new positioning system was proposed by using a computer vision system mounted on an unmanned aerial vehicle (UAV) to provide position information for an agricultural airboat engaged in autonomous fertilizing and herbicide application in this study. The computer vision system included a minicomputer, a color camera with a wide-angle lens, and a Bluetooth transmitter. The UAV was operated to hover high enough to overlook the paddy field by the computer vision system. The colored concentric circular markers were made to put at the corners of the paddy field to facilitate the paddy field recognition using Fitzgibbon ellipse fitting algorithm. Utilize the geographic position by GPS and image position by computer vision system of each markers to obtain the perspective transformation matrix for transforming the top view image of the paddy field. At the created paddy-field-based coordinate, the UAV detects the airboat position by using the white color feature and central symmetrical contour feature of the airboat and transmits the position information to airboat in real time by Bluetooth for airboat navigation. The results of navigation experiment showed that the RMS lateral errors were 0.17 m, 0.10 m and 0.11 m in 3 predefined paths, respectively. This accuracy level was better than that of differential-GPS (DGPS). It is acceptable for providing positioning service for the airboat autonomous navigation in paddy fields. Furthermore, this UAV-airboat solution was a beneficial attempt which can not only prevent the instability of GPS-based airboat navigation in bad environment, but also avoid the herbicide spray drift problem that occurs in UAV-spraying in the air.
机译:目前,少数农业公司正在开发和生产一种无线电控制的农业漏洞,这些农业荒鸟可以用于杂草和施肥而不是人类在稻田中。作者改善了通过前一项研究中全球定位系统(GPS)指南针实现自主导航的暂停。为了解决基于GPS的不良环境中的基于GPS的导航(例如,具有高大的树木,恶劣天气条件等的区域),通过使用安装在无人驾驶飞行器(UAV)上的计算机视觉系统提出了一种新的定位系统提供从事本研究中从事自主施肥和除草剂应用的农业暂空的位置信息。计算机视觉系统包括小型计算机,带有广角镜头的彩色摄像头,以及蓝牙发射器。 UAV被操作以悬停足够高,以通过计算机视觉系统俯视稻田。使彩色同心圆形标记放在稻田的角落处,以便于使用FitzGibbon椭圆拟合算法促进稻田识别。通过每个标记的计算机视觉系统利用GPS和图像位置通过GPS和图像位置来利用地理位置,以获得用于转换稻田的顶视图图像的透视变换矩阵。在创建的基于稻谷场的坐标上,UAV通过使用汽船的白色特征和中央对称轮廓特征来检测汽船位置,并通过蓝牙将位置信息以蓝牙实时传输到空航线。导航实验结果表明,在3个预定义路径中,RMS横向误差分别为0.17μm,0.10μm和0.11μm。这种精度水平优于差异-GPS(DGPS)。为稻田中的汽船自主导航提供定位服务是可以接受的。此外,这种无人驾驶船溶液是有益的尝试,它不仅可以防止在不良环境中的GPS的汽船导航的不稳定性,而且还避免了在空气中喷涂的除草剂喷雾漂移问题。

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