4 papers
Vision-Based Risk Aware Emergency Landing for UAVs in Complex Urban Environments
Julio de la Torre-Vanegas, Miguel Soriano-Garcia, Israel Becerra +1
Landing safely in crowded urban environments remains an essential yet challenging endeavor for Unmanned Aerial Vehicles (UAVs), especially in emergency situations. In this work, we…
ViVa-SAFELAND: a New Freeware for Safe Validation of Vision-based Navigation in Aerial Vehicles
Miguel S. Soriano-García, Diego A. Mercado-Ravell
ViVa-SAFELAND is an open source software library, aimed to test and evaluate vision-based navigation strategies for aerial vehicles, with special interest in autonomous landing, wh…
Risk Assessment for Autonomous Landing in Urban Environments using Semantic Segmentation
Jesús Alejandro Loera-Ponce, Diego A. Mercado-Ravell, Israel Becerra-Durán +1
In this paper, we address the vision-based autonomous landing problem in complex urban environments using deep neural networks for semantic segmentation and risk assessment. We pro…
Implementation of a Natural User Interface to Command a Drone
Brandon Yam-Viramontes, Diego Mercado-Ravell
In this work, we propose the use of a Natural User Interface (NUI) through body gestures using the open source library OpenPose, looking for a more dynamic and intuitive way to con…