Abstract:

Abstract— The increasing demand for autonomous multi-drone systems in applications such as surveillance, agriculture, and disaster management necessitates the creation of an effective and safe simulation environment. This paper introduces DroneFleet, a real-time multi-drone coordination and visualization framework that seamlessly integrates Python and Unity in the simulation of drone fleets. The system uses Python to generate telemetry, flight logic, and inter-drone coordination, while Unity provides a real-time interactive 3D environment to visualize the behavior of drones. Data exchange between both modules is facilitated via a lightweight UDP-based JSON communication layer that allows for minimum latency and scalable performance. Experimental evidence indicates that the proposed scheme successfully simulated multiple drones with live position updates, and it provides an adaptable testbed to carry out future research into swarm intelligence, flight control algorithms, and human–drone interaction. The proposed integration leverages Python's computational capabilities together with Unity's graphical power to approach an accessible and extensible platform in the development and analysis of multi-agent drone systems within virtual environments.