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Three Quantitative Means to Remain Well Clear for Small UAS in the Terminal Area

机译:三种量化手段对于终端区域中的小UA保持良好的方法

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Small Unmanned Aircraft Systems (sUAS) at low altitudes are increasingly being deployed to support important inspection, communications, and delivery operations. However, the expansion of these operations is constrained by regulatory and safety concerns regarding collisions with manned aircraft that limit deployments near aerodromes. Detect and Avoid (DAA) systems, geofencing systems, and Unmanned Traffic Management (UTM) separation services are components of a layered conflict management system to enable safe operations in terminal areas.1 These components cannot be developed, standardized, or certified without quantitative definitions for safe separation. These quantitative definitions for safe separation are termed "well clear," since they enable systems to show compliance with the well clear intent in Title 14 Code of Federal Regulation (CFR) Parts 91 or 107 or their international equivalents.
机译:越来越多地部署在低海拔的小型无人机系统(SUAS)以支持重要的检查,通信和交付运营。然而,这些行动的扩展受到关于与有载有载有载人飞机的碰撞的监管和安全问题,限制了机场附近的部署。检测和避免(DAA)系统,地理化系统和无人流量管理(UTM)分离服务是分层冲突管理系统的组件,以在终端区域启用安全操作。 1 这些组件无法开发,标准化或认证,没有定量定义以便安全分离。这些安全分离的定量定义被称为“很清楚”,因为它们使系统能够显示遵守联邦监管(CFR)部分91或107或其国际等同物的标题14代码中的良好清晰的意图。

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