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Cristiano Premebida is a Lecturer in the Dept of Electrical and Computer Engineering (DEEC) at the University of Coimbra, Portugal. His main research interests are autonomous robots, self-driving vehicles, robotic perception, sensing and artificial perception, probabilistic machine learning (ML), sensor fusion, applied ML in real-world problems. He collaborates with the Institute of Systems and Robotics (ISR-UC), the LUCAS Lab (Loughborough University, UK), and the ARVIS Lab at Aston University. C. Premebida has collaborated on research projects in areas related to autonomous systems and robotics, sensing and perception, and applied machine learning (such as: AI+Green, ViVID, Evollu, Auto-CITS, Safe2Wheelers, MATIS, AGV-Posys). List of publications is available here: https://scholar.google.com/citations?user=RuHUvNMAAAAJ&hl=en
Identificação

Identificação pessoal

Nome completo
Cristiano Premebida

Nomes de citação

  • Premebida, Cristiano
  • Premebida, C.
  • C. Premebida
  • Cristiano Premebida

Identificadores de autor

Ciência ID
2D17-5005-8C26
ORCID iD
0000-0002-2168-2077
Google Scholar ID
RuHUvNMAAAAJ&hl
Researcher Id
O-1673-2013
Scopus Author Id
23996193700

Endereços de correio eletrónico

  • cpremebida@isr.uc.pt (Profissional)
  • cpremebida@deec.uc.pt (Profissional)

Telefones

Telefone
  • 239796319 (Profissional)

Moradas

  • Dept of Electrical and Computer Engineering - DEEC , University of Coimbra, 3030-290, Coimbra, Coimbra, Portugal (Profissional)

Websites

  • https://home.isr.uc.pt/~cpremebida/ (Profissional)
  • https://scholar.google.co.uk/citations?user=RuHUvNMAAAAJ&hl=en&oi=ao (Académico)
  • https://home.deec.uc.pt/~cpremebida/ (Académico)

Domínios de atuação

  • Ciências da Engenharia e Tecnologias - Engenharia Eletrotécnica, Eletrónica e Informática - Robótica

Idiomas

Idioma Conversação Leitura Escrita Compreensão Peer-review
Português (Idioma materno)
Inglês Utilizador independente (B2) Utilizador proficiente (C1) Utilizador independente (B2) Utilizador independente (B2) Utilizador proficiente (C1)
Espanhol; Castelhano Utilizador elementar (A2) Utilizador independente (B1) Utilizador elementar (A2) Utilizador independente (B1) Utilizador independente (B1)
Formação
Grau Classificação
2007/04/15 - 2012/09/04
Concluído
Electrical Engineering (Doutoramento)
Especialização em Robotics and Automation
Universidade de Coimbra, Portugal
Approved unanimously, with Distinction and Honours
2004/10/01 - 2007/03/09
Concluído
Electrical and Computer Engineering (Mestrado)
Especialização em Automation and Robotics
Universidade de Coimbra, Portugal
Very Good
1995/06/01 - 2001/03/01
Concluído
Electrical Engineering (Graduado)
Especialização em Automation and electronics
State University of Santa Catarina, Brasil
7.6 / 10
Percurso profissional

Ciência

Categoria Profissional
Instituição de acolhimento
Empregador
2013/03/01 - 2018/07/01 Investigador Auxiliar Convidado (carreira) (Investigação) Universidade de Coimbra, Portugal
Universidade de Coimbra Departamento de Engenharia Electrotécnica e de Computadores, Portugal

Docência no Ensino Superior

Categoria Profissional
Instituição de acolhimento
Empregador
2019/12/16 - Atual Professor Auxiliar (Docente Universitário) Universidade de Coimbra, Portugal
Universidade de Coimbra Departamento de Engenharia Electrotécnica e de Computadores, Portugal
2018/09/01 - 2019/12/13 Professor Auxiliar (Docente Universitário) Loughborough University, Reino Unido
Loughborough University Department of Aeronautical and Automotive Engineering, Reino Unido
Projetos

Projeto

Designação Financiadores
2020 - 2021/09/01 Intelligent Automation in Precise Agriculture (AI+Green)
MIT-EXPL/TDI/0029/2019
Investigador responsável
Universidade de Coimbra Instituto de Sistemas e Robótica, Portugal
2019 - 2019/12/01 ViVID - Virtual Vehicle Integration and Development
info:eu-repo/grantAgreement/RCUK/Innovate UK/113210/GB
Investigador
Loughborough University Department of Aeronautical and Automotive Engineering, Reino Unido
2016 - 2019/03/30 Regulation Study for Interoperability in the Adoption of Autonomous Driving in European Urban Nodes (AutoCITS)
INEA/CEF/TRAN/M2015/11437466
Investigador responsável
Universidade de Coimbra, Portugal

Outro

Designação Financiadores
2015 - 2019/03/23 Scientific and technical innovations for safer Powered Two Wheelers (PTW)
TU1407
Investigador
Universidade de Coimbra, Portugal
Produções

Publicações

Artigo em conferência
  1. Bird, Jordan J.; Faria, Diego R.; Premebida, Cristiano; Ekart, Aniko; Ayrosa, Pedro P. S.. "Overcoming Data Scarcity in Speaker Identification: Dataset Augmentation with Synthetic MFCCs via Character-level RNN". 2020.
    10.1109/icarsc49921.2020.9096166
  2. Melotti, Gledson; Premebida, Cristiano; Goncalves, Nuno. "Multimodal Deep-Learning for Object Recognition Combining Camera and LIDAR Data". 2020.
    10.1109/icarsc49921.2020.9096138
  3. Hayton, Jack N.C.; Barros, Tiago; Premebida, Cristiano; Coombes, Matthew J.; Nunes, Urbano J.. "CNN-based Human Detection Using a 3D LiDAR onboard a UAV". 2020.
    10.1109/icarsc49921.2020.9096075
  4. Jordan J. Bird; Diego R. Faria; Premebida, Cristiano; Anikó Ekárt; George Vogiatzis. "Look and Listen: A Multi-Modality Late Fusion Approach to Scene Classification for Autonomous Machines". Trabalho apresentado em IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2020), 2020.
  5. Garrote, Luis; Premebida, Cristiano; Silva, David; Nunes, Urbano J.. "HMAPs - Hybrid Height- Voxel Maps for Environment Representation". 2018.
    10.1109/iros.2018.8594113
  6. Melotti, Gledson; Premebida, Cristiano; Goncalves, Nuno M. M. da S.; Nunes, Urbano J. C.; Faria, Diego R.. "Multimodal CNN Pedestrian Classification: A Study on Combining LIDAR and Camera Data". 2018.
    10.1109/itsc.2018.8569666
  7. Paulo, J.; Garrote, L.; Premebida, C.; Asvadi, A.; Almeida, D.; Lopes, A.; Peixoto, P.. "An innovative robotic walker for mobility assistance and lower limbs rehabilitation". 2017.
    10.1109/ENBENG.2017.7889450
  8. Loureiro, R.; Lopes, A.; Carona, C.; Almeida, D.; Faria, F.; Garrote, L.; Premebida, C.; Nunes, U.J.. "ISR-RobotHead: Robotic head with LCD-based emotional expressiveness". 2017.
    10.1109/ENBENG.2017.7889437
  9. Premebida, C.; Garrote, L.; Asvadi, A.; Ribeiro, A.P.; Nunes, U.. "High-resolution LIDAR-based depth mapping using bilateral filter". 2016.
    10.1109/ITSC.2016.7795953
  10. Faria, D.R.; Vieira, M.; Premebida, C.; Nunes, U.. "Probabilistic human daily activity recognition towards robot-assisted living". 2015.
    10.1109/ROMAN.2015.7333644
  11. Fernandes, R.; Premebida, C.; Peixoto, P.; Wolf, D.; Nunes, U.. "Road detection using high resolution LIDAR". 2015.
    10.1109/VPPC.2014.7007125
  12. Premebida, C.; Faria, D.R.; Souza, F.A.; Nunes, U.. "Applying probabilistic Mixture Models to semantic place classification in mobile robotics". 2015.
    10.1109/IROS.2015.7353981
  13. Premebida, C.; Sousa, J.; Garrote, L.; Nunes, U.. "Polar-Grid Representation and Kriging-Based 2.5D Interpolation for Urban Environment Modelling". 2015.
    10.1109/ITSC.2015.203
  14. Faria, D.R.; Premebida, C.; Nunes, U.. "A probabilistic approach for human everyday activities recognition using body motion from RGB-D images". 2014.
    10.1109/ROMAN.2014.6926340
  15. Garrote, L.; Premebida, C.; Silva, M.; Nunes, U.. "An RRT-based navigation approach for mobile robots and automated vehicles". 2014.
    10.1109/INDIN.2014.6945533
  16. Premebida, C.; Carreira, J.; Batista, J.; Nunes, U.. "Pedestrian detection combining RGB and dense LIDAR data". 2014.
    10.1109/IROS.2014.6943141
  17. Antunes, M.; Barreto, J.P.; Premebida, C.; Nunes, U.. "Can stereo vision replace a Laser Rangefinder?". 2012.
    10.1109/IROS.2012.6385844
  18. Ludwig, O.; Premebida, C.; Nunes, U.; Araújo, R.. "Evaluation of Boosting-SVM and SRM-SVM cascade classifiers in laser and vision-based pedestrian detection". 2011.
    10.1109/ITSC.2011.6082909
  19. Premebida, C.; Ludwig, O.; Silva, M.; Nunes, U.. "A cascade classifier applied in pedestrian detection using laser and image-based features". 2010.
    10.1109/ITSC.2010.5625244
  20. Premebida, C.; Ludwig, O.; Nunes, U.. "Exploiting LIDAR-based features on pedestrian detection in urban scenarios". 2009.
    10.1109/ITSC.2009.5309697
  21. Premebida, C.; Monteiro, G.; Nunes, U.; Peixoto, P.. "A Lidar and vision-based approach for pedestrian and vehicle detection and tracking". 2007.
    10.1109/ITSC.2007.4357637
Artigo em revista
  1. Naranjo, Jose; Jimenez, Felipe; Castineira, Rodrigo; GIl, Mauro; Premebida, Cristiano; Serra, Pedro; Valejo, Alberto; Nashashibi, Fawzi; Magalhaes, Conceicao. "Cross-Border interoperability for Cooperative, Connected and Automated Driving". IEEE Intelligent Transportation Systems Magazine (2021): 0-0. http://dx.doi.org/10.1109/mits.2021.3049352.
    10.1109/mits.2021.3049352
  2. Asvadi, Alireza; Garrote, Luis; Premebida, Cristiano; Peixoto, Paulo; J. Nunes, Urbano. "Multimodal vehicle detection: fusing 3D-LIDAR and color camera data". Pattern Recognition Letters 115 (2018): 20-29. http://dx.doi.org/10.1016/j.patrec.2017.09.038.
    10.1016/j.patrec.2017.09.038
  3. Cristiano Premebida; Diego R. Faria; Urbano Nunes. "Dynamic Bayesian network for semantic place classification in mobile robotics". Autonomous Robots (2017): https://doi.org/10.1007%2Fs10514-016-9600-2.
    10.1007/s10514-016-9600-2
  4. Asvadi, A.; Premebida, C.; Peixoto, P.; Nunes, U.. "3D Lidar-based static and moving obstacle detection in driving environments: An approach based on voxels and multi-region ground planes". Robotics and Autonomous Systems (2016): http://www.scopus.com/inward/record.url?eid=2-s2.0-84979710953&partnerID=MN8TOARS.
    10.1016/j.robot.2016.06.007
  5. Pascoal, R.; Santos, V.; Premebida, C.; Nunes, U.. "Simultaneous segmentation and superquadrics fitting in laser-range data". IEEE Transactions on Vehicular Technology 64 2 (2015): 441-452. http://www.scopus.com/inward/record.url?eid=2-s2.0-84923111087&partnerID=MN8TOARS.
    10.1109/TVT.2014.2321899
  6. Ludwig, Oswaldo; Nunes, Urbano; Ribeiro, Bernardete; Premebida, Cristiano. "Improving the Generalization Capacity of Cascade Classifiers". IEEE Transactions on Cybernetics 43 6 (2013): 2135-2146. http://dx.doi.org/10.1109/tcyb.2013.2240678.
    10.1109/tcyb.2013.2240678
  7. Olmeda, D.; Premebida, C.; Nunes, U.; Armingol, J.M.; De La Escalera, A.. "Pedestrian detection in far infrared images". Integrated Computer-Aided Engineering 20 4 (2013): 347-360. http://www.scopus.com/inward/record.url?eid=2-s2.0-84884551881&partnerID=MN8TOARS.
    10.3233/ICA-130441
  8. Premebida, C.; Nunes, U.. "Fusing LIDAR, camera and semantic information: A context-based approach for pedestrian detection". International Journal of Robotics Research 32 3 (2013): 371-384. http://www.scopus.com/inward/record.url?eid=2-s2.0-84876260658&partnerID=MN8TOARS.
    10.1177/0278364912470012
  9. Premebida, C.; Ludwig, O.; Nunes, U.. "LIDAR and vision-based pedestrian detection system". Journal of Field Robotics 26 9 (2009): 696-711. http://www.scopus.com/inward/record.url?eid=2-s2.0-70449347276&partnerID=MN8TOARS.
    10.1002/rob.20312
  10. Premebida, C.; Nunes, U.. "A multi-target tracking and GMM-classifier for intelligent vehicles". IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC (2006): 313-318. http://www.scopus.com/inward/record.url?eid=2-s2.0-41849118035&partnerID=MN8TOARS.
Capítulo de livro
  1. Premebida, Cristiano; Melotti, Gledson; Asvadi, Alireza. "RGB-D Object Classification for Autonomous Driving Perception". In Advances in Computer Vision and Pattern Recognition, 377-395. Springer International Publishing, 2019.
    10.1007/978-3-030-28603-3_17
  2. R. Faria, Diego; Premebida, Cristiano; J. Manso, Luis; P. Ribeiro, Eduardo; Núñez, Pedro. "Multimodal Bayesian Network for Artificial Perception". In Bayesian Networks - Advances and Novel Applications. IntechOpen, 2019.
    10.5772/intechopen.81111
  3. Premebida, Cristiano; Ambrus, Rares; Marton, Zoltan-Csaba. "Intelligent Robotic Perception Systems". In Applications of Mobile Robots. IntechOpen, 2019.
    10.5772/intechopen.79742
  4. Premebida, Cristiano; Souza, Francisco A. A.; Faria, Diego R.. "Dynamic Bayesian Network for Time-Dependent Classification Problems in Robotics". In Bayesian Inference. InTech, 2017.
    10.5772/intechopen.70059
Resumo em conferência
  1. Gledson Melotti; Premebida, Cristiano; Jordan J. Bird; Diego R. Faria; Nuno Goncalves. "Probabilistic Object Classification using CNN ML-MAP layers". Trabalho apresentado em European Conference on Computer Vision (ECCV), Workshop on Perception for Autonomous Driving (PAD), 2020.
    Aceite para publicação
Website
  1. Premebida, Cristiano. Detailed list of publications. 2019. https://scholar.google.com/citations?user=RuHUvNMAAAAJ&hl=en.
Atividades

Organização de evento

Nome do evento
Tipo de evento (Tipo de participação)
Instituição / Organização
2016/01/01 - 2021/12/01 AE for IEEE ITSC (19, 20, 21), ICAR (19), IV (20, 21), ICARSC (2021) ; Program chair for UK-RAS (2019); Registration chair for IEEE RO-MAN (2017); registration co-chair for ITSC (2016); WS organization: 3rd Int. Workshop on Connected, Cooperative, and Automated Driving (CAD), IEEE IV; 2nd Int. Workshop on Connected, Automated and Autonomous Vehicles (CA2V), IEEE CVES; 1st Int. Workshop on Connected, Automated and Autonomous Vehicles (CA2V), IEEE VTC; ARtificial Perception, MAchine Learning and DAtasets for Human- Robot Interaction, IEEE RO-MAN. (2016 - 2021)
Oficina (workshop) (Coorganizador)
Universidade de Coimbra Departamento de Engenharia Electrotécnica e de Computadores, Portugal
2020/07/01 - 2020/10/01 Summer School on: Robotics and Applied Machine Learning (RML) https://sites.google.com/view/robotlearning/home (2020/07/01 - 2020/10/01)
Seminário (Coorganizador)
Universidade de Coimbra Departamento de Engenharia Electrotécnica e de Computadores, Portugal

Universidade de Coimbra Instituto de Sistemas e Robótica, Portugal

Participação em evento

Descrição da atividade
Tipo de evento
Nome do evento
Instituição / Organização
2010 - Atual A list of services and other activities is available here: https://home.isr.uc.pt/~cpremebida/files_cp/cv_cp.pdf
Distinções

Outra distinção

2014 Paper Finalist for Kazuo Tanie Best Paper Award