DEMO: An Integrated Framework for Network Emulation and Multi-vehicle Algorithm Testing | UNetyEmu скачать в хорошем качестве

DEMO: An Integrated Framework for Network Emulation and Multi-vehicle Algorithm Testing | UNetyEmu

Authors: Mauricio Rodriguez, Ariel Goes de Castro (Universidade Estadual de Campinas (UNICAMP)); Ramon Fontes (Federal University of Rio Grande do Norte); Fabricio Rodriguez (Telefonica Research); Christian Rothenberg (Universidade Estadual de Campinas (UNICAMP)) Abstract: 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 demonstration 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. GitHub: https://github.com/intrig-unicamp/UNe... Zenodo: https://zenodo.org/records/16894739