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Survey of Simulators for Aerial Robots: An Overview and In-Depth Systematic Comparisons

Cora A. Dimmig, Giuseppe Silano, Kimberly McGuire, Chiara Gabellieri, Wolfgang Hönig, Joseph O. Moore, Marin Kobilarov

Year
2023
Citations
5
Access
Open access

Abstract

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. In this paper we present an overview of 44 UAV simulators, including in-depth, systematic comparisons for 14 of the simulators. Additionally, we present a set of decision factors for selection of simulators, aiming to enhance the efficiency and safety of research endeavors.

Keywords

RobotComputer scienceAerial surveyGeographyAeronauticsArtificial intelligenceCartographyEngineering

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