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UNetyEmu: Unity-based simulator for aerial and non-aerial vehicles with integrated network emulation
As drones and autonomous vehicles become integral to smart city infrastructures, there is a growing need for tools that can accurately evaluate their behavior under realistic communication and mobility conditions. Existing frameworks often lack support for scalable scenarios, realistic wireless emulation, or the integration of heterogeneous vehicle types. This work presents UNetyEmu as a novel framework that combines real-time network emulation with high-fidelity mobility simulation, enabling realistic experimentation with both aerial and non-aerial autonomous vehicles. This integration allows researchers to evaluate vehicle coordination under dynamic communication conditions typical of smart city scenarios using 5G (and beyond) networks. Unlike existing experimental platforms, UNetyEmu provides online and offline control connectivity states, supports network emulation, and allows evaluating algorithms related to multiple drones, such as obstacle avoidance, path planning, logistics, and coordination, among others.
Mauricio Rodriguez Cesen ([email protected]) | School of Electrical and Computer Engineering (FEEC), Universidade Estadual de Campinas (UNICAMP), São Paulo, Brazil
Ariel Góes de Castro ([email protected]) | School of Electrical and Computer Engineering (FEEC), Universidade Estadual de Campinas (UNICAMP), São Paulo, Brazil
Ibini A. Santana ([email protected]) | School of Electrical and Computer Engineering (FEEC), Universidade Estadual de Campinas (UNICAMP), São Paulo, Brazil
Ramon R. Fontes ([email protected]) | Leading Advanced Technologies Center of Excellence (LANCE), Universidade Federal do Rio Grande do Norte (UFRN), Rio Grande do Norte, Brazil
Fabricio R. Cesen ([email protected]) | Telefónica Research, Barcelona, Spain
Christian Esteve Rothenberg ([email protected]) | School of Electrical and Computer Engineering (FEEC), Universidade Estadual de Campinas (UNICAMP), São Paulo, Brazil