Gledson Melotti

Past Member

Academic Role: PhD Student

Biography:
Gledson is currently in the PhD in electrical and computers engineering at the University of Coimbra (UC). He is developing research in the area of autonomous vehicle perception systems. He has a master’s degree in electrical engineering from the Federal University of Minas Gerais (UFMG-Brazil), a specialization in control and instrumentation engineering at the Faculty of the Centro Leste (UCL-Brazil) and a degree in electrical engineering from the Federal University of São João Del- Rei (UFSJ-Brazil). He has basic knowledge in evolutionary computation applied in PID controls, linear and nonlinear dynamic systems. He is currently a professor at the Federal Institute of Education, Science and Technology of Espírito Santo – São Mateus (Brazil). (This information may be out of date.)

Related Content

Probabilistic Approach for Road-Users Detection

Authors: Gledson Melotti, Weihao Lu, Pedro Conde, Dezong Zhao, Alireza Asvadi, Nuno Gonçalves and Cristiano Premebida
Date:2023
Featured in: IEEE Transactions on Intelligent Transportation Systems, 2023

Reducing Overconfidence Predictions in Autonomous Driving Perception

Authors: Gledson Melotti, Cristiano Premebida, Jordan J. Bird, Diego R. Faria and Nuno Gonçalves
Date:2022
Featured in: IEEE Access, vol. 10, pp. 54805-54821, 2022

Reducing Overconfident Predictions in Multimodality Perception for Autonomous Driving

Authors: Gledson Melotti
Date:2022
Featured in: PhD Thesis

Multimodal Deep-Learning for Object Recognition Combining Camera and LIDAR Data

Authors: Gledson Melotti, Cristiano Premebida and Nuno Gonçalves
Date:2020
Featured in: 2020 IEEE International Conference on Autonomous Robot Systems and Competitions, Ponta Delgada, Portugal

Probabilistic Object Classification using CNN ML-MAP layers

Authors: Gledson Melotti, Cristiano Premebida, Jordan Bird, Diego Faria and Nuno Gonçalves
Date:2020
Featured in: Workshop on Perception for Autonomous Driving (PAD), European Conference on Computer Vision (ECCV) 2020

Multimodal CNN Pedestrian Classification: A Study on Combining Lidar and Camera Data

Authors: Gledson Melotti, Cristiano Premebida, Nuno Gonçalves, Urbano Nunes and Diego Faria
Date:2018
Featured in: 21st IEEE International Conference on Intelligent Transportation Systems, Hawaii, USA
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RECENT PUBLICATIONS

A Study on Static Gaits for a Four Legged Robot

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Featured in: CONTROL’2000, Cambridge, UK

Analysis of Two Methods for Estimation of Partial 3D Velocity

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Uncertainty Propagation in Estimation of Partial 3D Velocity

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Institute of Systems and Robotics Department of Electrical and Computers Engineering University of Coimbra