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A Geometrical Approach for Vision Based Attitude and Altitude Estimation for UAVs in Dark Environments

机译:基于视觉态度和黑暗环境中无人机的高度估计的几何方法

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This paper presents a single camera and laser system dedicated to the realtime estimation of attitude and altitude for unmanned aerial vehicles (UAV) under low illumination conditions to dark environments. The fisheye camera allows to cover a large field of view (FOV). The approach, close to structured light systems, uses the geometrical information obtained by the projection of a laser circle onto the ground plane and perceived by the camera. We propose some experiments based on simulated data and real sequences. The results show good agreement with the ground truth values from the commercial sensors in terms of its accuracy and correctness. The results also prove its suitability for autonomous take-off and landing as well as for the case of low altitude manoeuvre in dark, GPS signal deficient and environments with no prebuilt maps. It also provides room for additional payload to be used for different applications due to it being inexpensive and use of light weight micro-camera and laser system.
机译:本文介绍了一个相机和激光系统,专用于在低照明条件下对无人机(UAV)的姿态和高度的实时估计到黑暗环境。 Fisheye相机允许覆盖大型视野(FOV)。接近结构光系统的方法使用通过将激光圆的投影获得的几何信息在接地平面上并由相机感知。我们提出了一种基于模拟数据和真实序列的一些实验。结果表明,在其准确性和正确性方面,与商业传感器的地面真理值良好。结果还证明了自主起飞和着陆的适用性以及黑暗,GPS信号缺乏和环境中的低空操纵的情况,没有预构建地图。它还为不同的应用提供了额外有效载荷的空间,因为它是廉价的轻质微型摄像头和激光系统的廉价和使用。

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