Rafael Berri

Rafael Berri
Universidade Federal do Rio Grande (FURG) | FURG · Center for Computer Science - C ³

Professor at FURG - Federal University of Rio Grande

About

14
Publications
4,164
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66
Citations
Introduction
Rafael Alceste Berri received the M.S. and B.S.degrees in Computer Science from Santa Catarina State University (UDESC), in 2005 and 2014, respectively. He received the Ph.D. degree at the University of São Paulo (ICMC/USP) in 2019. He is a researcher of the Mobile Robotics Laboratory at ICMC/USP (LRM Lab.) and Professor at Federal University of Rio Grande. His current research interests include ADAS, Driver distraction, Machine Learning, Computer Vision, and Patter Recognition.
Additional affiliations
March 2014 - October 2015
University of São Paulo
Position
  • PhD Candidate, Mobile Robotics Laboratory

Publications

Publications (14)
Chapter
An effective way to cope with classification problems, among others, is by using Fuzzy Rule-Based Classification Systems (FRBCSs). These systems are composed by two main components, the Knowledge Base (KB) and the Fuzzy Reasoning Method (FRM). The FRM is responsible for performing the classification of new examples based on the information stored i...
Conference Paper
Stock markets are responsible for the movement of huge amounts of financial resources around the world. This market generates a high volume of transaction data, which after being analyzed are very useful for many applications. In this paper we present BovDB, a data set that was built considering as source the Brazilian Stock Exchange (B3) with info...
Book
Detectar celular ao volante, motoristas embriagados e direção sonolenta podem ser importantes aptidões para um veículo moderno, possibilitando assim, que o próprio veículo evite riscos relacionados com motoristas humanos. De fato, quando veículos são conduzidos por pessoas em ligações telefônicas, o risco de acidente aumenta de 4 a 6 vezes. Motoris...
Conference Paper
Full-text available
In this work, a vision system has been developed using a frontal camera to monitor the driver, enabling to recognize the use of a cell phone while driving. It is estimated that 80% of car crashes and 65% of near collisions involved drivers who were inattentive in traffic for three seconds before the event. Five videos in real environments were gene...
Chapter
This paper presents a perception/interface device for Telepresence Mobile Robots using a Kinect sensor. Firstly, using the Kinect RGB camera (Webcam) and image processing techniques, it is possible to detect a human face, allowing the robot to track the face, getting closer of a person, moving forward and rotating to get a better pose (position and...
Chapter
Full-text available
Este curso visa apresentar uma introdução aos principais conceitos da área de robótica móvel e sobre robôs articulados, através de uma abordagem baseada em simulações e orientada a exemplos práticos apresentados no curso, os quais serão disponibilizados e poderão ser testados pelos participantes. A robótica móvel inteligente é uma importante área e...
Conference Paper
This paper presents a Telepresence Mobile Robot using a Kinect sensor as the main perception/interface device. Firstly, using the Kinect camera (Webcam) and image processing techniques, it is possible to detect a human face, allowing the robot to track the face, getting closer of a person, moving forward and rotating to get a better position to int...
Conference Paper
Full-text available
It is estimated that 80% of crashes and 65% of near collisions involved drivers inattentive to traffic for three seconds before the event. This paper develops an algorithm for extracting characteristics allowing the cell phones identification used during driving a vehicle. Experiments were performed on sets of images with 100 positive images (with...
Conference Paper
Full-text available
It is estimated that 80% of crashes and 65% of near collisions involved drivers inattentive to traffic for three seconds before the event. This paper develops an algorithm for extracting characteristics allowing the cell phones identification used during driving a vehicle. Experiments were performed on sets of images with 100 positive images (with...
Conference Paper
Full-text available
In United States around 100,000 accidents are caused by drowsy drivers, resulting in over 1,500 deaths and 71,000 injuries per year. The driver inattention caused half of 126,000 accidents on brazilian federal highways (in 2010). This paper presents methods for face location, analysis of eye state (opened or closed) and drowsiness detection of driv...

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Projects

Project (1)
Project
This system will be able to detect when the driver can conduct a vehicle.