IEEE - Aerospace and Electronic Systems - May 2022 - Tutorial XV - 16

Monocular Visual Autonomous Landing System for Quadcopter Drones Using Software in the Loop
[31] T. D. Barfoot, State Estimation for Robotics. Cambridge,
U.K.: Cambridge Univ. Press, 2019.
[32] Simulation, PX4 User Guide, PX4, 2021. [Online]. Available:
https://docs.px4.io/master/en/simulation/.
[33] M. Saavedra Ruiz and A. Pinto Vargas, " Desarrollo De Un
Sistema De Aterrizaje Autonomo Para Un Vehıculo Aereo
No Tripulado Sobre Un Vehıculo Terrestre, " Red.uao.edu.
co, 2019. [Online]. Available: http://hdl.handle.net/10614/
10754
Miguel A. Saavedra-Ruiz
was born in Cali, Colombia,
in 1996. He is currently
a Research Master's
Student with an emphasis
in artificial intelligence
and robotics and is advised
by Liam Paull with the
Robotics and Embodied
AI Lab (REAL), Universite´
deMontre´al, Montreal,
QC, Canada, and MILA,
Montreal, QC, Canada.
From 2017 to 2018, he worked under the supervision ofVictor
Romero-Cano in different areas, such as object detection
and tracking, mobile and aerial robotics, sensor fusion, and
deep neural networks. From 2019 to 2020, he worked as
R&D Robotics Software Engineer at Romero Cano Ingenieria
Cali, Colombia. In 2021, he was a Machine Learning
Engineer with Whale & Jaguar, Cali, Colombia. SaavedraRuiz
received the B.Eng. degree in mechatronics engineering
and the Postgraduate Diploma in artificial intelligence
from Universidad Auto´noma de Occidente, Cali, Colombia,
in 2019 and 2021, respectively.
Ana Maria Pinto-Vargas
was borninCali, Colombia,
in 1997. Since 2020, she
has been a Python Developer
with Alternova Tech,
Medellı´n, Colombia, developing
and maintaining digital
healthcare applications.
In 2022, she worked as
an Instructor with LinkedIn
Learning in an online
Python Basics online course
entitled " Python Esencia. "
From 2017 to 2018, she worked under the supervision ofVictor
Romero-Cano in different areas such as object detection
and tracking, and mobile and aerial robotics. From 2019 to
2020, she was a Software Developer with Romero Cano
Ingenieria Cali, Colombia. Pinto-Vargas received the B.Eng.
degree in mechatronics engineering, and the Postgraduate
Diploma in big data analytics from Universidad Auto´noma de
Occidente, Cali, Colombia, in 2019 and 2021, respectively.
Victor Romero-Cano was
born in Palmira, Colombia,
in 1986. In 2016, he joined
INRIA Grenoble, Grenoble,
France, as a Postdoctoral
Research Associate
within the CHROMA team.
Since 2017, he has been a
Lecturer and Researcher
with Universidad Auto´noma
de Occidente, Cali,
Colombia. His research
interests include multisensor
robotic perception and machine learning. Romero-Cano
received the B.Eng. degree Mechatronics Engineering from
Universidad Auto´noma de Occidente in 2007, the M.Sc.
degree in electrical engineering from the Universidade de Sao
Paulo, Sao Paulo, Brazil, in 2010, and the Ph.D. degree from
the Australian Centre for Field Robotics, University of Sydney,
Sydney, NSW, Australia, in 2015. He was an Associate
Editor for the IEEE International Conference on Intelligent
Robots andSystems[CE1].
16
IEEE A&E SYSTEMS MAGAZINE
MAY 2022

https://docs.px4.io/master/en/simulation/ http://Red.uao.edu.co http://Red.uao.edu.co http://hdl.handle.net/10614/10754 http://hdl.handle.net/10614/10754

IEEE - Aerospace and Electronic Systems - May 2022 - Tutorial XV

Table of Contents for the Digital Edition of IEEE - Aerospace and Electronic Systems - May 2022 - Tutorial XV