<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>The rapid evolution of unmanned aerial vehicles (UAVs), has significantly advanced their capabilities, enabling complex operations that can be enhanced through swarm intelligence. This paper introduces a drone swarm simulator designed to model, analyze, and optimize the cooperative behaviors of drone swarms in diverse operational environments to provide a realistic and scalable platform for the simulation of drones, incorporating real-world physics, communication constraints, and autonomous decision-making algorithms.</p>
</abstract>

The rapid evolution of unmanned aerial vehicles (UAVs), has significantly advanced their capabilities, enabling complex operations that can be enhanced through swarm intelligence. This paper introduces a drone swarm simulator designed to model, analyze, and optimize the cooperative behaviors of drone swarms in diverse operational environments to provide a realistic and scalable platform for the simulation of drones, incorporating real-world physics, communication constraints, and autonomous decision-making algorithms.

Advancing Drone Swarm Simulation: A Comprehensive System for Real-Time Control and Dynamic Interaction

Department of Cybernetics and Artificial Intelligence, Faculty of Electrical Engineering and Informatics

Acta Electrotechnica et Informatica

This work is licensed under the Creative Commons Attribution 4.0 International License.

The rapid evolution of unmanned aerial vehicles (UAVs), has significantly advanced their capabilities, enabling complex operations that can be enhanced through...

Advancing Drone Swarm Simulation: A Comprehensive System for Real-Time Control and Dynamic Interaction

Pubblicato online: 30 mag 2024

Pagine: 16 - 22

Ricevuto: 16 feb 2024

Accettato: 14 mag 2024

DOI: https://doi.org/10.2478/aei-2024-0003

Parole chiave
drones, simulation, UAV, Internet of Vehicles

© 2024 Dušan Herich et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Advancing Drone Swarm Simulation: A Comprehensive System for Real-Time Control and Dynamic Interaction

Pubblicato online: 30 mag 2024

Pagine: 16 - 22

Ricevuto: 16 feb 2024

Accettato: 14 mag 2024

DOI: https://doi.org/10.2478/aei-2024-0003

Parole chiavedrones, simulation, UAV, Internet of Vehicles

© 2024 Dušan Herich et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Parole chiave
drones, simulation, UAV, Internet of Vehicles