Uncrewed Aerial Vehicle (UAV) research faces challenges with safety, scalability, costs, and ecological impact when conducting hardware testing. High-fidelity simulators offer a vital solution by replicating real-world conditions to enable the development and evaluation of novel perception and control algorithms. However, the large number of available simulators poses a significant challenge for researchers to determine which simulator best suits their specific use-case, based on each simulator's limitations and customization readiness. This paper includes a systematic overview of 38 existing UAV simulators and presents a set of decision factors for their selection, aiming to enhance the efficiency and safety of research endeavors.

翻译：无人飞行器（UAV）研究在硬件测试中面临安全性、可扩展性、成本及生态影响等挑战。高保真仿真器通过复现真实环境条件，为新型感知与控制算法的开发与评估提供了关键解决方案。然而，现有仿真器数量众多，使得研究人员难以依据各仿真器的局限性与定制化程度，确定最契合具体应用场景的仿真器。本文系统综述了38种现有无人飞行器仿真器，并提出了一套选择决策因素，旨在提升研究工作的效率与安全性。