WGS84坐标之间的距离确定:一种降低计算复杂度的近似方法的评估

David Seiferth, C. Blum, M. Heller, F. Holzapfel
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引用次数: 3

摘要

由于应用领域巨大,无人机系统(UAS)如今在尺寸,重量,推力和范围等方面有所不同。应用的高度多样性对无人机飞行控制软件的复杂性、计算量和跟踪性能提出了广泛的要求。基于航路点、自动起降能力或安全区域检测和粘附算法的轨迹飞行需要可靠和准确的距离和飞行路径计算方法。本文对WGS84参考椭球上坐标之间的最短距离及其对应的航路航线的七种不同计算方法进行了综述、分析和评价。根据无人机操作距离的不同,采用适合实际应用的计算方法可以大大降低精度和计算复杂度。本文推荐了适合于无人机系统应用的近似方法。由于软件验证和安全评估导致的计算复杂度越来越大,因此在保持精度和跟踪性能的同时,应采用适当的距离计算方法,使距离计算尽可能简单。针对三种不同的典型应用场景,讨论了所提出方法的可行性。
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Distance Determination Between WGS84 Coordinates: An Assessment of Approximation Methods for Reduced Computational Complexity
Due to the enormous fields of application, Unmanned Air Systems (UAS) nowadays differ inter alia in size, weight, thrust and range. The high diversity of application imposes a broad range of requirements to the flight control software of the Unmanned Air Vehicle in terms of complexity, computational effort and tracking performance. Trajectory flights based on way-points, automatic take-off and landing capabilities, or safe area detection and adherence algorithms require reliable and accurate distance and flight path calculation methodologies. This paper reviews, analyses and evaluates seven different methods to calculate the shortest distance and its corresponding flight path course between coordinates on the WGS84 reference ellipsoid. Depending on the operating distance of the UAS, the accuracy and the computational complexity can be reduced dramatically by utilizing an application-adapted calculation method. This paper recommends the suitable approximation method for the application of your Unmanned Air Vehicle System. Since the computational complexity gets rising significance due to software verification and safety assessment the distance calculation should be kept as simple as feasible by utilizing the appropriate distance calculation method while maintaining accuracy and tracking performance. The feasibility of the proposed methods is discussed for three different typical application scenarios.
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