CV Lattes
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Universidade Estadual Paulista (UNESP). Campus de Bauru. Faculdade de Engenharia (FE) (Institutional affiliation from the last research proposal) Birthplace: Brazil
He holds a degree in Electrical Engineering from the State University of Campinas (1986), a master's degree in electrical engineering from the State University of Campinas (1990) and a PhD in Electrical Engineering from the State University of Campinas (1997). He has worked as an assistant professor at the Faculty of Engineering of the São Paulo State University "Júlio de Mesquita Filho", UNESP, on the Bauru campus since 1992 teaching subjects in the areas of digital systems, computing, and computer vision. He has experience in #8203;#8203;Electrical Engineering, with an emphasis on Electronic Automation of Electrical and Industrial Processes, working on the following topics: computer vision, visual inspection, robotics. He is currently president of the Superior Information Technology Committee at Unesp and the Personal Data Management and Privacy Committee at Unesp. (Source: Lattes Curriculum)
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Deep neural networks are suitable for solving several problems, but these machine-learning models have a high computational cost. Graphics Processing Units (GPUs), which are suitable for the calculations performed by these algorithms, or cloud computing services, which can do the processing remotely by sending data through the Internet, are used to overcome the drawbacks. However, the exc…
Providing robots with autonomous locomotion capability in different environments is crucial to expanding the usefulness of robotic systems. However, working out a mathematical or computational model of a mobile robot that can deal with any of the possible situations in real environments can be a complex task. For this reason, deep neural networks have been researched to solve the problems…
A trend of the SLAM (Simultaneous Localization and Mapping) researches is to use low-cost video cameras instead of using expensive specialized sensors to capture 3D information from the environment. This approach is usually referred to as Visual Slam or Visual Odometry. The choice of this type of this solution relies on the fact that there is a wide availability of video cameras and they …
A reliable sensor fusion is crucial to the operation of a safe and efficient autonomous navigation system. Given that all sensors have their advantages and drawbacks, a single sensor is often not sufficient to reliably represents the environment and the use of multiple sensors has become a common practice. Most systems rely on a static sensor fusion strategy, that tends to perform poorly …
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