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Taxonomy of Conflict Detection and Resolution Approaches for Unmanned Aerial Vehicle in an Integrated Airspace

机译:综合空域中无人飞行器冲突检测与解决方法分类

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摘要

This paper proposes a taxonomy of Conflict Detection and Resolution (CD&R) approaches for Unmanned Aerial Vehicles (UAV) operation in an integrated airspace. Possible approaches for UAVs are surveyed and broken down based on their types of surveillance, coordination, maneuver, and autonomy. The factors are combined back selectively, with regard to their feasibility for operation in an integrated airspace, into several ’generic approaches’ that form the CD&R taxonomy. These generic approaches are then attributed to a number of available method in the literature to determined their position in the overall CD&R scheme. The attribution shows that many proposed methods are actually unsuitable for operation in an integrated airspace. Furthermore, some part of the taxonomy does not have an adequate representative in the literature, suggesting the need to concentrate UAV CD&R research more in those particular parts. Finally, a multi-layered CD&R architecture is built from the taxonomy, implementing the concept of defense-in-depth to ensure UAVs safe operation in an integrated civil airspace.
机译:本文提出了一种在综合空域中对无人飞行器(UAV)进行操作的冲突检测和解决方法(CD&R)方法的分类法。根据监视,协调,机动和自治的类型,对无人机的可能方法进行了调查和细分。考虑到在集成空域中运行的可行性,这些因素被有选择地组合回形成CD&R分类法的几种“通用方法”。然后,将这些通用方法归因于文献中的许多可用方法,以确定它们在整个CD&R方案中的位置。归因表明,许多提议的方法实际上不适合在集成空域中运行。此外,分类学的某些部分在文献中没有足够的代表性,这表明需要将无人机CD&R研究更多地集中在那些特定部分。最后,从分类法构建了多层CD&R体系结构,实现了深度防御的概念,以确保无人机在集成民用空域中安全运行。

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