确保地面危险安全的城市无人机系统传感器能力

Xavier Bouyssounouse, C. Ippolito
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引用次数: 0

摘要

城市地区的无人机系统(UASs)可能对动态地面物体(dgo)(如人、宠物和自行车)构成重大安全风险;特别是对于非标称紧急穿越和降落。本文将研究一个评估无人机安全效益的框架,该框架可以通过对DGO危险进行分类、对其行为进行建模和分配碰撞成本来实现。dgo被认为是任何正在移动或能够移动的地面物体。安全效益将通过分析从UAS和DGO轨迹计算的指标来评估,其中考虑了意图和不确定性。本文将建立将这些轨迹和DGO分类映射到安全水平的理论关系。传感器功能将映射到DGO轨迹的不确定性,因此可以直接从给定UAS轨迹的传感器规格中估计安全性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Urban Area Unmanned Aerial Systems Sensor Capabilities for Ensuring Ground Hazards Safety
Unmanned aerial systems (UASs) in urban areas can pose significant safety risks to dynamic ground objects (DGOs) such as people, pets, and bikes; especially for off-nominal emergency traverses and landings. This paper will examine a framework for evaluating the UAS safety benefits which can be achieved by classifying DGO hazards, modeling their behavior, and assigning collision costs. DGOs are assumed to be any ground objects which are either moving or capable of moving. Safety benefits will be assessed by analyzing metrics computed from UAS and DGO trajectories which take into account intent and uncertainties. This paper will establish the theoretical relationships mapping these trajectories and DGO classifications to safety levels. Sensor capabilities will be mapped to DGO trajectory uncertainties, so that safety can be directly estimated from the sensor specifications for a given UAS trajectory.
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