activity
20202022
most citedVisual-based Safe Landing for UAVs in Populated Areas: Real-time Validation in Virtual Environments

7 citations · 7 across the 1 of their papers we have counts for

collaborators

5 papers

cs.RO2022★ 7 cited

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…

cs.CV2021

Monitoring Social-distance in Wide Areas during Pandemics: a Density Map and Segmentation Approach

Javier A. González-Trejo, Diego A. Mercado-Ravell

With the relaxation of the containment measurements around the globe, monitoring the social distancing in crowded public places is of grate importance to prevent a new massive wave…

cs.RO2021

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…

cs.CV2020

Dense Crowds Detection and Counting with a Lightweight Architecture

Javier Antonio Gonzalez-Trejo, Diego Alberto Mercado-Ravell

In the context of crowd counting, most of the works have focused on improving the accuracy without regard to the performance leading to algorithms that are not suitable for embedde…

cs.CV2020

Dense Crowds Detection and Surveillance with Drones using Density Maps

Javier Gonzalez-Trejo, Diego Mercado-Ravell

Detecting and Counting people in a human crowd from a moving drone present challenging problems that arisefrom the constant changing in the image perspective andcamera angle. In th…