Sistema Nacional de Investigadoras e Investigadores:

SNII Nivel C

Grupo de investigación (área):

Ciencias de la Computación

Línea de investigación principal:

Robótica y sistemas inteligentes

Sede de adscripción:

ZACATECAS

Correo electrónico:

diego.mercado@cimat.mx


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Dr. Diego Alberto Mercado Ravell

Investigadoras e Investigadores por México



Diego Alberto Mercado-Ravell was born in Mexico City on 1987. He received his B.S. degree in Mechatronics Engineering from the Universidad Panamericana in Aguascalientes, Mexico in 2010, the M.Sc. degree in Electrical Engineering option Mechatronics from CINVESTAV-IPN, Mexico City in 2012, and the Ph.D. in Automation, Embedded Systems and Robotics from the University of Technology of Compiègne, France in 2015, with the thesis titled "Autonomous Navigation and Teleoperation of Unmanned Aerial Vehicles using Monocular Vision". Dr. Mercado has held post-doctoral positions at the Mechanical and Aerospace Department at Rutgers, the State University of New Jersey, USA, and at the French-Mexican Laboratory on Computer Science and Control UMI-LAFMIA 3175 at CINVESTAV Mexico. He is currently full time professor at the Mathematics Research Center CIMAT at Zacatecas, Mexico, and member of the National Research System SNI level C since 2018. His research topics include modeling and control of unmanned aerial and/or underwater vehicles, autonomous navigation, real-time embedded applications, data fusion, deep learning and computer vision applications.

Publicaciones recientes:



Robust IDA-PBC for under-actuated systems with inertia matrix dependent of the unactuated coordinates: application to a UAV carrying a load.




On the Visual-based Safe Landing of UAVs in Populated Areas: a Crucial Aspect for Urban Deployment.




On the Safety of Vulnerable Road Users by Cyclist Orientation Detection using Deep Learning.




Lightweight Density Map Architecture for UAVs Safe Landing in Crowded Areas.




Weed Classification from Natural Corn Field-Multi-Plant Images Based on Shallow and Deep Learning