March 28, 2022, 1:10 a.m. | Hector Tovanche-Picon, Javier Gonzalez-Trejo, Angel Flores-Abad, Diego Mercado-Ravell

cs.CV updates on arXiv.org arxiv.org

Safe autonomous landing for Unmanned Aerial Vehicles (UAVs) in populated
areas is a crucial aspect for successful urban deployment, particularly in
emergency landing situations. Nonetheless, validating autonomous landing in
real scenarios is a challenging task involving a high risk of injuring people.
In this work, we propose a framework for real-time safe and thorough evaluation
of vision-based autonomous landing in populated scenarios, using
photo-realistic virtual environments. We propose to use the Unreal graphics
engine coupled with the AirSim plugin for …

arxiv real-time time validation virtual

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