52 citations · 118 across the 11 of their papers we have counts for
11 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…
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…
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…
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…
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…
Vibration Analysis in Bearings for Failure Prevention using CNN
Luis A. Pinedo-Sanchez, Diego A. Mercado-Ravell, Carlos A. Carballo-Monsivais
Timely failure detection for bearings is of great importance to prevent economic loses in the industry. In this article we propose a method based on Convolutional Neural Networks (…
On the safety of vulnerable road users by cyclist orientation detection using Deep Learning
Marichelo Garcia-Venegas, Diego A. Mercado-Ravell, Carlos A. Carballo-Monsivais
In this work, orientation detection using Deep Learning is acknowledged for a particularly vulnerable class of road users,the cyclists. Knowing the cyclists' orientation is of grea…
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…
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…