Realistic Unmanned Aerial Vehicle Simulation: A Comprehensive Approach

This paper presents a comprehensive software architecture that facilitates the testing and deployment of autonomous missions in the context of Unmanned Aerial Vehicle (UAV) simulation. Our approach integrates and enhances several tools, including the Robot Operating System (ROS), to create a robust environment for evaluating autonomous UAV operations and gathering data. The core of our simulation framework leverages Unreal Engine and the AirSim plugin to model UAV dynamics and generate sensor data. Various modifications have been implemented to enhance sensor fidelity and enable realistic movement of diverse world objects, achieving a higher degree of realism. Designed for high configurability, the proposed architecture allows for flexible adaptation to a wide range of scenarios and requirements. Thus, this simulation environment supports rigorous testing and development of autonomous UAV systems, presenting a valuable platform for researchers and developers in the field of aerial robotics.

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Publication Details

Published
2024-11-06
DOI
https://doi.org/10.1109/robot61475.2024.10796915
Citations
2
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
0.50
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article

Realistic Unmanned Aerial Vehicle Simulation: A Comprehensive Approach

Francisco J. Pérez-Gran, Antidio Viguria, Anı́bal Ollero, David Tejero-Ruiz
2 citations
Robotic Path Planning Algorithms
0.50
article

Realistic Unmanned Aerial Vehicle Simulation: A Comprehensive Approach

Francisco J. Pérez-Gran, Antidio Viguria, Anı́bal Ollero, David Tejero-Ruiz
article en
2 citations

Abstract

This paper presents a comprehensive software architecture that facilitates the testing and deployment of autonomous missions in the context of Unmanned Aerial Vehicle (UAV) simulation. Our approach integrates and enhances several tools, including the Robot Operating System (ROS), to create a robust environment for evaluating autonomous UAV operations and gathering data. The core of our simulation framework leverages Unreal Engine and the AirSim plugin to model UAV dynamics and generate sensor data. Various modifications have been implemented to enhance sensor fidelity and enable realistic movement of diverse world objects, achieving a higher degree of realism. Designed for high configurability, the proposed architecture allows for flexible adaptation to a wide range of scenarios and requirements. Thus, this simulation environment supports rigorous testing and development of autonomous UAV systems, presenting a valuable platform for researchers and developers in the field of aerial robotics.

Center for Advanced Aerospace Technologies (ES), Universidad de Sevilla (ES)
Openalex Percentile: Top 32%
Robotic Path Planning Algorithms
0.50
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Realistic Unmanned Aerial Vehicle Simulation: A Comprehensive Approach — Francisco J. Pérez-Gran, Antidio Viguria, et al. · (2024) | TGRS Research Map | TGRS