Bemposta Rosende, SergioGhisler, SergioFernández Andrés, JavierSánchez Soriano, Javier2026-02-072026-02-072023Bemposta Rosende, S., Ghisler, S., Fernández-Andrés, J., & Sánchez-Soriano, J. (2023). Implementation of an edge-computing vision system on reduced-board computers embedded in uavs for intelligent traffic management. Drones, 7(11), 682. https://doi.org/10.3390/drones71106822504-446Xhttps://hdl.handle.net/11268/16804Advancements in autonomous driving have seen unprecedented improvement in recent years. This work addresses the challenge of enhancing the navigation of autonomous vehicles in complex urban environments such as intersections and roundabouts through the integration of computer vision and unmanned aerial vehicles (UAVs). After the experiments, it was observed that the combination that best suits our use case is the YoloV8 model with the Jetson Nano. On the other hand, a combination with much higher inference speed but lower accuracy involves the EfficientDetLite models with the Google Coral board.engAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/journal article10.3390/drones7110682open accessIngeniería aeroespacialInteligencia artificialSeguridad del transporteGoal 9: Build resilient infrastructure, promote sustainable industrialization and foster innovationGoal 11: Make cities inclusive, safe, resilient and sustainable