Pedro Porto Buarque de Gusmão
Pedro Gusmao
Themes:
Biography
I currently hold a postdoctoral research position at the Cyber-Physical Systems group, working on the NIST grant “Pervasive, Accurate, and Reliable Location Based Services for Emergency Responders".
I received my bachelor’s degree in Telecommunication Engineering from the University of São Paulo and my master’s degree on the same field from the Politecnico di Torino in a double degree program. During my MSc studies, I was a recipient of an Alta Scuola Politecnica scholarship; and in 2017, I obtained my PhD from the same Politecnico.
My research interests include computer vision, machine learning and signal processing.
Selected Publications
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DeepTIO: A Deep Thermal−Inertial Odometry with Visual Hallucination
M.R.U. Saputra P.P.B. de Gusmao C.X. Lu Y. Almalioglu S. Rosa C. Chen J. Wahlstrom W. Wang A. Markham and N. Trigoni
In IEEE Robotics and Automation Letters (RAL) + IEEE ICRA. 2020.
Details about DeepTIO: A Deep Thermal−Inertial Odometry with Visual Hallucination | BibTeX data for DeepTIO: A Deep Thermal−Inertial Odometry with Visual Hallucination | Download (pdf) of DeepTIO: A Deep Thermal−Inertial Odometry with Visual Hallucination
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Map−aided Navigation for Emergency Searches
J. Wahlström‚ P. Porto Buarque de Gusmão‚ A. Markham and N. Trigoni
In 2019 15th International Conference on Distributed Computing in Sensor Systems (DCOSS). Pages 25−32. May, 2019.
Details about Map−aided Navigation for Emergency Searches | BibTeX data for Map−aided Navigation for Emergency Searches | DOI (10.1109/DCOSS.2019.00027)
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Sensor Fusion for Magneto−Inductive Navigation
Johan Wahlström Manon Kok Pedro Porto Buarque de Gusmsao Traian E. Abrudan Niki Trigoni and Andrew Markham
In IEEE Sensors Journal. 2019.
Details about Sensor Fusion for Magneto−Inductive Navigation | BibTeX data for Sensor Fusion for Magneto−Inductive Navigation | DOI (10.1109/JSEN.2019.2942451) | Link to Sensor Fusion for Magneto−Inductive Navigation