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

机译:终端区小型UAS保持井井有条的三种定量方法

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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:低空小型无人机系统(sUAS)越来越多地被部署来支持重要的检查,通信和交付操作。但是,这些操作的扩展受到与有人驾驶飞机相撞的监管和安全问题的限制,这限制了在机场附近的部署。检测和避免(DAA)系统,地理围栏系统和无人驾驶交通管理(UTM)分离服务是分层冲突管理系统的组成部分,可确保在终端区域中进行安全操作。 1 如果没有用于安全分离的定量定义,则无法开发,标准化或认证这些组件。这些用于安全分离的定量定义被称为“良好清晰”,因为它们使系统能够显示出符合《联邦法规》第14标题(CFR)第91或107部分或它们的国际等效物中明确明确的意图。

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