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Automatic Detection of Complex Shaped Buildings in Aerial Images to Support the Navigation of Micro Aerial Vehicles in Urban Environment

机译:自动检测航空影像中形状复杂的建筑物,以支持城市环境中微型航空器的导航

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摘要

In areas with insufficient GPS reception, like in urban areas close to buildings, alternative techniques have to be used to assist the inertial navigation system. The long-term objective of this work is to use buildings, detected in camera images, as distinctive landmarks for navigating micro aerial vehicles within the aforementioned areas. This paper presents a new method to detect buildings in aerial images. To use this algorithm onboard the vehicle during the mission, it has to be fast and executed automatically without readjusting any parameters by the operator. To cover a wide range of possible application areas, no building constraints are required. Therefore a wide variation of buildings with complex shapes can be detected.
机译:在GPS接收不足的区域,例如靠近建筑物的城市区域,必须使用替代技术来辅助惯性导航系统。这项工作的长期目标是将在摄像机图像中检测到的建筑物用作上述区域内微型航空器导航的独特地标。本文提出了一种在航空影像中检测建筑物的新方法。为了在任务期间在车辆上使用该算法,它必须快速且自动执行,而无需操作员重新调整任何参数。为了覆盖各种可能的应用领域,不需要任何建筑约束。因此,可以检测出形状复杂的建筑物的多种变化。

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  • 来源
    《Gyroscopy and navigation》 |2015年第1期|1-8|共8页
  • 作者单位

    KIT-Institute of Systems Optimization (ITE), Karlsruhe, Germany;

    KIT-Institute of Systems Optimization (ITE), Karlsruhe, Germany;

    KIT-Institute of Systems Optimization (ITE), Karlsruhe, Germany;

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  • 正文语种 eng
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