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 analyzes existing UAV simulators and decision factors for their selection, aiming to enhance the efficiency and safety of research endeavors.

翻译：无人机（UAV）研究在进行硬件测试时面临着安全性、可扩展性、成本及生态影响等方面的挑战。高保真度仿真器通过复现真实世界条件，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，现有大量仿真器使得研究人员难以基于各仿真器的局限性及定制化程度，确定最适合特定应用场景的仿真器。本文对现有无人机仿真器及其选型决策要素进行了分析，旨在提升研究工作的效率与安全性。