52 citations · 118 across the 11 of their papers we have counts for
5 papers · 1 filter
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…
Visual-based Safe Landing for UAVs in Populated Areas: Real-time Validation in Virtual Environments
Hector Tovanche-Picon, Javier Gonzalez-Trejo, Angel Flores-Abad +1
Safe autonomous landing for Unmanned Aerial Vehicles (UAVs) in populated areas is a crucial aspect for successful urban deployment, particularly in emergency landing situations. No…
On the Visual-based Safe Landing of UAVs in Populated Areas: a Crucial Aspect for Urban Deployment
Javier González-Trejo, Diego Mercado-Ravell, Israel Becerra +1
Autonomous landing of Unmanned Aerial Vehicles (UAVs) in crowded scenarios is crucial for successful deployment of UAVs in populated areas, particularly in emergency landing situat…