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Autonomous infrared-based guidance system for approach and landing

机译:基于自主的红外线指导系统,用于接近和降落

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This contribution summarizes DLR's recent development of a considerable robust and reliable method to estimate the relative position of an aircraft with respect to a runway based on camera images only (TV, infrared or even PMMW radar). The special advantage of the proposed method is, that neither a calibrated camera (referring to focus length and mounting angles relative to the aircraft) is required, nor any knowledge of special points of the runway (3-D world coordinates and their 2-D identification within the image) is needed. The only reference to the 3-D world, which has to be known, is the width of the runway stripe. The proposed algorithm computes the relative height of the aircraft above the runway stripe and the lateral deviation from the centre line of the runway as well. Additionally, several image analysis procedures are presented which allow to detect the runway stripe by either grouping the asphalt/grass border lines, or by analyzing the alignment structure of runway lights. The proposed image analysis method fulfills real-time requirements and has been tested with several image sequences acquired with different types of IR-cameras.
机译:这一贡献总结了DLR最近的发展,这是基于摄像机图像(电视,红外甚至PMMW雷达)来估计飞行器相对于跑道的相对位置的相当稳健和可靠的方法。所提出的方法的特殊优点是,需要校准相机(参考相对于飞机的聚焦长度和安装角),也不是跑道特殊点的知识(三维世界坐标及其2-D.需要在图像中识别))。必须知道的3-D世界的唯一参考是跑道条纹的宽度。所提出的算法计算跑道条纹上方的飞机的相对高度以及与跑道的中心线的横向偏差。另外,提出了几种图像分析程序,其允许通过分组沥青/草边界线或通过分析跑道灯的对准结构来检测跑道条纹。所提出的图像分析方法满足实时要求,并已用不同类型的IR-相机获取的几个图像序列进行了测试。

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