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Cristiano Premebida is Lecturer in the Department of Electrical and Computer Engineering (DEEC) at the University of Coimbra (UC), Portugal. His main research interests are autonomous robots (including agricultural robotics), self-driving vehicles, robotic perception, sensing and artificial perception, probabilistic machine learning (ML), sensor fusion, and 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 DREAM Lab (GeorgiaTech Lorraine, FR). He is IEEE senior member of the RAS and ITS societies, serving as AE for ITSC, IV, IROS, and other conferences. C. Premebida has been collaborating in many national (e.g., VESTA, AgriBotics, AGVPosys, InGestAlgae, iProMo, AI+Green, PDCS, EVSIM, PMIT, MTDTS) and international projects (e.g., GreenBotics as Coordinator, XPro, AutoCITS where he led the WP4, COST Safe2Wheelers as MC member) in the areas of robotics, AI/ML, autonomous systems. Recently, he is the coordinator of a Horizon MSCA-DN project (AIGreenBots 2.4M eur, 7 partners from 5 countries), is PI of the FCT project GreenBotics (ranked in 1st by the respective evaluation panel), PI of the XPro bilateral collaboration project (FCT-DAAD Germany). C. Premebida has published more than 80 peer-reviewed papers, attracting over 3.5K citations, and h-index = 27 and i10-index=48. List of publications is available here: https://scholar.google.com/citations?user=RuHUvNMAAAAJ&hl=en
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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

Domínios de atuação

  • Ciências da Engenharia e Tecnologias - Engenharia Eletrotécnica, Eletrónica e Informática - Robótica
Formação
Grau Classificação
2007/04/15 - 2012/09/04
Concluído
 Electrical Engineering (Doutoramento)
Especialização em Robotics and Automation
Universidade de Coimbra, Portugal
"Pedestrian Detection Using Laser and Vision" (TESE/DISSERTAÇÃO)
 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
2017/09/01 - 2018/08/31 Professor Auxiliar Convidado (Docente Universitário) Universidade de Coimbra, Portugal
2017 - 2018 Professor Auxiliar Convidado (Docente Universitário) Universidade de Coimbra, Portugal
Projetos

Projeto

Designação Financiadores
2024 - Atual Explainable probabilistic models for robot applications (XPro)
N/A
Investigador responsável
2022/11/17 - Atual PREMOVE - Movement prediction of traffic participants for the safe integration of self-driving cars in urban areas
PROYEXCEL_00684
Outra
2024/10/01 - 2028/09/30 Artificial Intelligence and sensor-fusion systems in sustainable (Green) robotics for precision agriculture
AIGreenBots
Investigador responsável
Em curso
2021/01/01 - 2025/12/31 Advanced Production and Intelligent Systems
LA/P/0112/2020
10.54499/LA/P/0112/2020
Universidade de Coimbra Instituto de Sistemas e Robótica, Portugal

Instituto Politécnico de Leiria Centro para o Desenvolvimento Rápido e Sustentado de Produto, Portugal

Instituto Politécnico de Leiria, Portugal

Universidade do Minho, Portugal

Instituto para a Sustentabilidade e Inovação em Estruturas de Engenharia, Portugal

Universidade de Coimbra, Portugal

Centro de Investigação em Sistemas e Tecnologias, Portugal

Universidade do Porto Faculdade de Engenharia, Portugal

Universidade de Coimbra Centro de Engenharia Mecânica Materiais e Processos, Portugal
Fundação para a Ciência e a Tecnologia
Em curso
2024/07/01 - 2025/12/30 VESTA - Vegetation Evaluation with Satellite Technology and Analytics
VESTA
Investigador responsável
Em curso
2022/01/03 - 2025/01/02 Sistema Robótico Inteligente para Agricultura Digital (GreenBotics)
PTDC/EEI-ROB/2459/2021
Investigador responsável
Universidade de Coimbra Instituto de Sistemas e Robótica, Portugal

Instituto Politécnico de Coimbra, Portugal

Universidade de Coimbra Instituto de Engenharia de Sistemas e Computadores de Coimbra, Portugal
Fundação para a Ciência e a Tecnologia
Em curso
2021/04/01 - 2023/06/30 UltraBot - Robot for disinfection using ultraviolet radiation
CENTRO-01-0247-FEDER-072644
Investigador
2021/02/01 - 2023/06/30 iProMo - Intelligent Systems for Grinding Process Control
CENTRO-01-0247-FEDER-069730
Investigador
2021/01/18 - 2023/06/30 InGestAlgae - Intelligent Platform for Microalgae Production Management
CENTRO-01-0247-FEDER-046983
Investigador
Concluído
2020/09/01 - 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
 Fundação para a Ciência e a Tecnologia
Em curso
2020/07/15 - 2021/01/15 Robotics and Applied Machine Learning
Verão com Ciência
Investigador responsável
Universidade de Coimbra, Portugal
 Fundação para a Ciência e a Tecnologia
Concluído
2019/01/01 - 2019/12/31 INSTITUTO DE SISTEMAS E ROBÓTICA - ISR - COIMBRA
UID/EEA/00048/2019
Universidade do Porto Faculdade de Engenharia, Portugal

Universidade de Lisboa Faculdade de Letras, Portugal
Fundação para a Ciência e a Tecnologia
Concluído
2019/01/01 - 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
Em curso
2016/11/01 - 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
Concluído
2011/03/01 - 2014/08/31 PDCS2010 - Detecção de Peões em Ambientes Urbanos
PTDC/EEA-AUT/113818/2009
Universidade de Coimbra, Portugal

Universidade de Coimbra Instituto de Sistemas e Robótica, Portugal
Fundação para a Ciência e a Tecnologia
Concluído
2011/01/01 - 2012/12/31 Strategic Project - UI 48 - 2011-2012
PEst-C/EEI/UI0048/2011
Universidade do Porto Faculdade de Engenharia, Portugal

Universidade de Lisboa Faculdade de Letras, Portugal

Universidade de Coimbra, Portugal
Fundação para a Ciência e a Tecnologia
Concluído
2006/12/01 - 2010/11/30 SENSOR-FUSION TECHNIQUES, MULTI-TARGET TRACKING AND OBJECT-CLASSIFICATION APPROACHES FOR INTELLIGENT VEHICLES
SFRH/BD/30288/2006
 Fundação para a Ciência e a Tecnologia
Concluído
2007/10/01 - 2010/09/30 PmITS06 - Métodos de Percepção para um Sistema de Transporte Inteligente usando informação sensorial do Veículo e da Infraestrutura
PTDC/EEA-ACR/72226/2006
Universidade de Coimbra Instituto de Sistemas e Robótica, Portugal

Instituto Politécnico de Tomar, Portugal
Fundação para a Ciência e a Tecnologia
Concluído
2005/06/01 - 2008/05/31 MTDTS04 - Detecção e Seguimento de Múltiplos Alvos em Ambientes Exteriores Semi-estruturados usando Laser e Visão
POSC/EEA-SRI/58279/2004
Universidade de Coimbra Instituto de Sistemas e Robótica, Portugal

Instituto Politécnico de Tomar, Portugal
Fundação para a Ciência e a Tecnologia
Concluído

Outro

Designação Financiadores
2015/03/24 - 2019/03/23 Scientific and technical innovations for safer Powered Two Wheelers (PTW)
TU1407
Investigador
Universidade de Coimbra, Portugal
Concluído
Produções

Publicações

Artigo em conferência
  1. Nunes, W. M. C.; Tiago Barros; Gil Rito Gonçalves; Premebida, Cristiano; Nunes, Urbano J.. "Optimizing DL-Based Segmentation with Conditional Random Field: Application in Vineyards using Multispectral Aerial Imagery". Trabalho apresentado em 2024 IEEE 20th International Conference on Automation Science and Engineering, Bari, 2024.
    Em revisão
  2. Barros, T.; Premebida, C.; Aravecchia, S.; Pradalier, C.; Nunes, U. J.. "SPVSoAP3D: A Second-order Average Pooling Approach to enhance 3D Place Recognition in Horticultural Environments". 2024.
    10.1109/iros58592.2024.10802603
  3. Cardoso, Wilgo; Barros, Tiago; Gonçalves, Gil; Premebida, Cristiano; Nunes, Urbano J.. "Multispectral Image Segmentation in Agriculture: Evaluating Deep Learning Models with Train-Test Split and Cross-Validation Strategies". 2024.
    10.1109/robot61475.2024.10797395
  4. Mota, Kennedy O. S.; Garrote, Luís; Premebida, Cristiano. "Multimodal Human Detection using RGB, Thermal and LiDAR modalities for Robotic Perception". 2024.
    10.1109/case59546.2024.10711565
  5. Gil Gonçalves; Umberto Andriolo; Lúcio Paiva; Cristiano Premebida; António Ferraz. "Modelling the Dependence of Chlorophyll Leaf-Clip Measures on Vegetation Indices Derived from Multispectral UAS Images in Vineyards Parcels". 2023.
    10.1109/igarss52108.2023.10281790
  6. Conde, Pedro; Barros, Tiago; Premebida, Cristiano; Nunes, Urbano J.. "ECE-based Deep Ensemble for Neural Network Calibration in Satellite Image Classification". Trabalho apresentado em 2023 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC), Tomar, 2023.
    Publicado • 10.1109/icarsc58346.2023.10129562
  7. Jorge S. S. Júnior; Jérôme Mendes; Francisco Souza; Cristiano Premebida. "Hybrid LSTM-Fuzzy System to Model a Sulfur Recovery Unit". 2023.
    10.5220/0012165100003543
  8. Sousa, Elísio; Mota, Kennedy O. S.; Gomes, Iago P.; Garrote, Luís; Wolf, Denis F.; Premebida, Cristiano. "Late-Fusion Multimodal Human Detection Based on RGB and Thermal Images for Robotic Perception". 2023.
    10.1109/ecmr59166.2023.10256301
  9. Barros, Tiago; Garrote, Luís; Aleksandrov, Martin; Premebida, Cristiano; Nunes, Urbano J.. "TReR: A Lightweight Transformer Re-Ranking Approach for 3D LiDAR Place Recognition". Trabalho apresentado em 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), 2023.
    10.1109/itsc57777.2023.10421819
  10. Conde, Pedro; Premebida, Cristiano. Autor correspondente: Conde, Pedro. "Adaptive-TTA: accuracy-consistent weighted test time augmentation method for the uncertainty calibration of deep learning classifiers". Trabalho apresentado em 33rd British Machine Vision Conference 2022 (BMVC), London, 2022.
    Aceite para publicação
  11. Junior, Jorge S. S.; Mendes, Jerome; Araujo, Rui; Paulo, Joao Ruivo; Premebida, Cristiano. "Novelty Detection for Iterative Learning of MIMO Fuzzy Systems". Trabalho apresentado em IEEE INDIN, 2021.
    10.1109/indin45523.2021.9557354
  12. Lu, Weihao; Zhao, Dezong; Premebida, Cristiano; Chen, Wen-Hua; Tian, Daxin. "Semantic Feature Mining for 3D Object Classification and Segmentation". Trabalho apresentado em IEEE ICRA, 2021.
    10.1109/icra48506.2021.9561986
  13. 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
  14. 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
  15. Melotti, Gledson; Premebida, Cristiano; Goncalves, Nuno. "Multimodal Deep-Learning for Object Recognition Combining Camera and LIDAR Data". 2020.
    10.1109/icarsc49921.2020.9096138
  16. Bird, Jordan J.; Faria, Diego R.; Premebida, Cristiano; Ekart, Aniko; Vogiatzis, George. "Look and Listen: A Multi-modality Late Fusion Approach to Scene Classification for Autonomous Machines". Trabalho apresentado em IROS, 2020.
    10.1109/iros45743.2020.9341557
  17. Garrote, Luis; Torres, Miguel; Barros, Tiago; Perdiz, Joao; Premebida, Cristiano; Nunes, Urbano J.. "Mobile Robot Localization with Reinforcement Learning Map Update Decision aided by an Absolute Indoor Positioning System". Trabalho apresentado em IROS, 2019.
    10.1109/iros40897.2019.8967957
  18. Pereira, Joel; Premebida, C.; Asvadi, A.; Cannata, F.; Garrote, L.; Nunes, U.J.. "Test and Evaluation of Connected and Autonomous Vehicles in Real-world Scenarios". 2019.
    10.1109/ivs.2019.8814032
  19. 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
  20. Garrote, Luis; Premebida, Cristiano; Silva, David; Nunes, Urbano J.. "HMAPs - Hybrid Height- Voxel Maps for Environment Representation". Trabalho apresentado em IROS, 2018.
    10.1109/iros.2018.8594113
  21. Melotti, Gledson; Asvadi, Alireza; Premebida, Cristiano. "CNN-LIDAR pedestrian classification: combining range and reflectance data". 2018.
    10.1109/icves.2018.8519497
  22. 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
  23. 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
  24. Asvadi, Alireza; Garrote, Luis; Premebida, Cristiano; Peixoto, Paulo; Nunes, Urbano J.. "DepthCN: Vehicle detection using 3D-LIDAR and ConvNet". 2017.
    10.1109/itsc.2017.8317880
  25. Paulo, J.; Garrote, L.; Asvadi, A.; Premebida, C.; Peixoto, P.. "Short-range gait pattern analysis for potential applications on assistive robotics". 2017.
    10.1109/ROMAN.2017.8172288
  26. Garrote, L.; Rosa, J.; Paulo, J.; Premebida, C.; Peixoto, P.; Nunes, U.J.. "3D point cloud downsampling for 2D indoor scene modelling in mobile robotics". 2017.
    10.1109/ICARSC.2017.7964080
  27. 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
  28. Faria, D.R.; Vieira, M.; Premebida, C.; Nunes, U.. "Probabilistic human daily activity recognition towards robot-assisted living". 2015.
    10.1109/ROMAN.2015.7333644
  29. Fernandes, R.; Premebida, C.; Peixoto, P.; Wolf, D.; Nunes, U.. "Road detection using high resolution LIDAR". 2015.
    10.1109/VPPC.2014.7007125
  30. 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
  31. 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
  32. 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
  33. 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
  34. Premebida, C.; Carreira, J.; Batista, J.; Nunes, U.. "Pedestrian detection combining RGB and dense LIDAR data". 2014.
    10.1109/IROS.2014.6943141
  35. Antunes, M.; Barreto, J.P.; Premebida, C.; Nunes, U.. "Can stereo vision replace a Laser Rangefinder?". 2012.
    10.1109/IROS.2012.6385844
  36. 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
  37. 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
  38. Premebida, C.; Ludwig, O.; Nunes, U.. "Exploiting LIDAR-based features on pedestrian detection in urban scenarios". 2009.
    10.1109/ITSC.2009.5309697
  39. 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
  40. Premebida, C.; Nunes, U.. "A Multi-Target Tracking and GMM-Classifier for Intelligent Vehicles". Trabalho apresentado em IEEE Intelligent Transportation Systems Conference, 2006.
    10.1109/itsc.2006.1706760
  41. Premebida, C.; Nunes, U.. "A multi-target tracking and GMM-classifier for intelligent vehicles". Trabalho apresentado em IEEE ITSC, 2006.
Artigo em revista
  1. Iago Pachêco Gomes; Cristiano Premebida; Denis Fernando Wolf. "Multi-agent interaction-aware behavior intention prediction using graph mixture of experts attention network on urban roads". Expert Systems with Applications (2025): https://doi.org/10.1016/j.eswa.2025.126485.
    10.1016/j.eswa.2025.126485
  2. Pedro Conde; Rui L. Lopes; Cristiano Premebida. "Improving Accuracy and Calibration of Deep Image Classifiers With Agreement-Driven Dynamic Ensemble". IEEE Open Journal of the Computer Society (2025): https://doi.org/10.1109/OJCS.2024.3519984.
    10.1109/OJCS.2024.3519984
  3. Telmo Adão; João Cerqueira; Miguel Adão; Nuno Silva; David Pascoal; Luís G. Magalhães; Tiago Barros; et al. "PROMORE: A Procedural Modeler of Virtual Rural Environments With Artificial Dataset Generation Capabilities for Remote Sensing Contexts". IEEE Access (2025): https://doi.org/10.1109/ACCESS.2025.3548513.
    10.1109/ACCESS.2025.3548513
  4. Jorge S. S. Júnior; Carlos Gaspar; Jérôme Mendes; Cristiano Premebida. "Assessing interpretability of data-driven fuzzy models: Application in industrial regression problems". Expert Systems (2024): https://doi.org/10.1111/exsy.13710.
    10.1111/exsy.13710
  5. T. Barros; L. Garrote; P. Conde; M. J. Coombes; C. Liu; C. Premebida; U. J. Nunes. "PointNetPGAP-SLC: A 3D LiDAR-Based Place Recognition Approach With Segment-Level Consistency Training for Mobile Robots in Horticulture". IEEE Robotics and Automation Letters (2024): https://doi.org/10.1109/LRA.2024.3475044.
    10.1109/LRA.2024.3475044
  6. Jorge S. S. Júnior; Jérôme Mendes; Francisco Souza; Cristiano Premebida. "Distilling Complex Knowledge Into Explainable T-S Fuzzy Systems". IEEE Transactions on Fuzzy Systems (2024): https://doi.org/10.1109/TFUZZ.2024.3506122.
    10.1109/TFUZZ.2024.3506122
  7. Conde, Pedro; Tiago Barros; Rui L. Lopes; Cristiano Premebida; Nunes, Urbano J.. Autor correspondente: Conde, Pedro. "Approaching Test Time Augmentation in the Context of Uncertainty Calibration for Deep Neural Networks". IEEE Transactions on Pattern Analysis and Machine Intelligence (2023): https://doi.org/10.48550/arXiv.2304.05104.
    Em revisão
  8. Jorge S. S. Júnior; Jérôme Mendes; Francisco Souza; Cristiano Premebida. "Survey on Deep Fuzzy Systems in Regression Applications: A View on Interpretability". International Journal of Fuzzy Systems (2023): https://doi.org/10.1007/s40815-023-01544-8.
    10.1007/s40815-023-01544-8
  9. Weihao Lu; Dezong Zhao; Cristiano Premebida; Li Zhang; Wenjing Zhao; Daxin Tian; Lu, Weihao; et al. "Improving 3D Vulnerable Road User Detection With Point Augmentation". IEEE Transactions on Intelligent Vehicles (2023): 1-15. https://doi.org/10.1109/TIV.2023.3246797.
    10.1109/TIV.2023.3246797
  10. Gledson Melotti; Weihao Lu; Pedro Conde; Dezong Zhao; Alireza Asvadi; Nuno Gonçalves; Cristiano Premebida. "Probabilistic Approach for Road-Users Detection". IEEE Transactions on Intelligent Transportation Systems (2023): https://doi.org/10.1109/TITS.2023.3268578.
    10.1109/TITS.2023.3268578
  11. Francisco Souza; Cristiano Premebida; Rui Araújo. "High-order conditional mutual information maximization for dealing with high-order dependencies in feature selection". Pattern Recognition (2022): https://doi.org/10.1016/j.patcog.2022.108895.
    10.1016/j.patcog.2022.108895
  12. Barros, T.; Conde, P.; Gonçalves, G.; Premebida, C.; Monteiro, M.; Ferreira, C.S.S.; Nunes, U.J.. "Multispectral vineyard segmentation: A deep learning comparison study". Computers and Electronics in Agriculture 195 (2022): 106782. http://dx.doi.org/10.1016/j.compag.2022.106782.
    10.1016/j.compag.2022.106782
  13. Gledson Melotti; Cristiano Premebida; Jordan J. Bird; Diego R. Faria; Nuno Goncalves. "Reducing Overconfidence Predictions in Autonomous Driving Perception". IEEE Access 10 (2022): 54805-54821. https://doi.org/10.1109/ACCESS.2022.3175195.
    10.1109/ACCESS.2022.3175195
  14. Barros, T.; Conde, P.; Gonçalves, G.; Premebida, Cristiano; Monteiro, M.; Ferreira, C. S. S.; Nunes, U. J.. "Multispectral vineyard segmentation: A deep learning comparison study". (2022): http://hdl.handle.net/10316/100144.
    https://doi.org/10.1016/j.compag.2022.106782
  15. Tiago Barros; Ricardo Pereira; Luis Garrote; Cristiano Premebida; Urbano J. Nunes. "Place recognition survey: An update on deep learning approaches". arXiv preprint arXiv:2106.10458 (2021):
  16. Tiago Barros; Luís Garrote; Ricardo Pereira; Cristiano Premebida; Urbano J. Nunes. "AttDLNet: Attention-based DL network for 3D LiDAR place recognition". arXiv preprint arXiv:2106.09637 (2021):
  17. Naranjo, Jose E.; 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 14 4 (2021): 6-19. http://dx.doi.org/10.1109/mits.2021.3049352.
    10.1109/mits.2021.3049352
  18. Bird, Jordan J.; Barnes, Chloe M.; Premebida, Cristiano; Ekárt, Anikó; Faria, Diego R.. "Country-level pandemic risk and preparedness classification based on COVID-19 data: A machine learning approach". PLOS ONE 15 10 (2020): e0241332. http://dx.doi.org/10.1371/journal.pone.0241332.
    10.1371/journal.pone.0241332
  19. 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
  20. 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
  21. Premebida, Cristiano; Faria, Diego R.; Nunes, Urbano; Cristiano Premebida; Diego R. Faria; Urbano Nunes. "Dynamic Bayesian network for semantic place classification in mobile robotics". Autonomous Robots (2016): http://hdl.handle.net/10316/93185.
    10.1007/s10514-016-9600-2
  22. 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
  23. 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
  24. 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
  25. Ludwig, Oswaldo; Nunes, Urbano; Ribeiro, Bernardete; Premebida, Cristiano. "Improving the Generalization Capacity of Cascade Classifiers". IEEE Transactions on Cybernetics 43 6 (2012): 2135-2146. http://dx.doi.org/10.1109/tcyb.2013.2240678.
    10.1109/tcyb.2013.2240678
  26. 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
Capítulo de livro
  1. Barros, Tiago; Garrote, Luís; Pereira, Ricardo; Premebida, Cristiano; Nunes, Urbano J.. "AttDLNet: Attention-Based Deep Network for 3D LiDAR Place Recognition". In ROBOT2022: Fifth Iberian Robotics Conference, 309-320. Springer International Publishing, 2022.
    Publicado • 10.1007/978-3-031-21065-5_26
  2. 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
  3. 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
  4. Premebida, Cristiano; Ambrus, Rares; Marton, Zoltan-Csaba. "Intelligent Robotic Perception Systems". In Applications of Mobile Robots. IntechOpen, 2019.
    10.5772/intechopen.79742
  5. Barros, Tiago; Garrote, Luís; Pereira, Ricardo; Premebida, Cristiano; Nunes, Urbano J.. "Improving Localization by Learning Pole-Like Landmarks Using a Semi-supervised Approach". In Robot 2019: Fourth Iberian Robotics Conference, 255-266. Springer International Publishing, 2019.
    10.1007/978-3-030-35990-4_21
  6. 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
  7. Asvadi, Alireza; Garrote, Luis; Premebida, Cristiano; Peixoto, Paulo; Nunes, Urbano J.. "Real-Time Deep ConvNet-Based Vehicle Detection Using 3D-LIDAR Reflection Intensity Data". In ROBOT 2017: Third Iberian Robotics Conference, 475-486. Springer International Publishing, 2017.
    10.1007/978-3-319-70836-2_39
Pré-impressão
  1. Conde, Pedro; Rui L. Lopes; C. Premebida. "A Theoretical and Practical Framework for Evaluating Uncertainty Calibration in Object Detection". 2023. https://doi.org/10.48550/arXiv.2309.00464.
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
Tese / Dissertação
  1. Premebida, Cristiano. "Pedestrian Detection Using Laser and Vision". Doutoramento, 2012. http://hdl.handle.net/10316/21130.
  2. "Detecção e Classificação de Objectos em Ambiente Exterior para Veículos Autónomos". Mestrado, Universidade de Coimbra Departamento de Engenharia Electrotécnica e de Computadores, 2007. https://home.isr.uc.pt/~cpremebida/files_cp/MscThesis.pdf.
Website
  1. Premebida, Cristiano. Detailed list of publications. 2019. https://scholar.google.com/citations?user=RuHUvNMAAAAJ&hl=en.
Atividades

Orientação

Título / Tema
Papel desempenhado 		Curso (Tipo)
Instituição / Organização
2023/01/01 - Atual Deep perception system for agricultural robotics
Orientador
 Doctoral program in Electrical Engineering and Intelligent Systems (Doutoramento)
Universidade de Coimbra Departamento de Engenharia Electrotécnica e de Computadores, Portugal
2020/09/01 - Atual IMPROVING THE RELIABILITY AND PROBABILISTIC INTERPRETATION OF DEEP NEURAL NETWORKS
Orientador
 Doctoral program in Electrical and Computer Engineering (Doutoramento)
Universidade de Coimbra Departamento de Engenharia Electrotécnica e de Computadores, Portugal
2020/09/01 - Atual Deep Fuzzy Regression for Autonomous Learning of Industrial Processes
Coorientador
 Doctoral program in electrical and computer engineering (Doutoramento)
Universidade de Coimbra Departamento de Engenharia Electrotécnica e de Computadores, Portugal
2019/09/01 - Atual MULTI-MODAL PLACE RECOGNITION FOR LONG-TERM OUTDOOR LOCALIZATION
Coorientador
 Doctoral program in electrical and computer engineering (Doutoramento)
Universidade de Coimbra Departamento de Engenharia Electrotécnica e de Computadores, Portugal
2019/09/01 - Atual Perception for autonomous vehicles based on 3D point cloud
Coorientador
University of Glasgow, Reino Unido
2022/07/01 - 2023/09/15 Visiting PhD student: ADAPTIVE INTERACTION-AWARE TRAJECTORY PREDICTION FOR AUTONOMOUS VEHICLES IN URBAN SCENARIOS
Coorientador
 Visiting PhD student (Doutoramento)
Universidade de São Paulo Câmpus de São Carlos, Brasil
2017/09/14 - 2023/04/26 Reducing Overconfident Predictions in Multimodality Perception for Autonomous Driving
Orientador
 Doctoral program in Electrotechnical Engineering (Doutoramento)
Universidade de Coimbra Departamento de Engenharia Electrotécnica e de Computadores, Portugal

Organização de evento

Nome do evento
Tipo de evento (Tipo de participação) 		Instituição / Organização
2020/07/01 - 2025/10/01 Summer School on: Robotics and Applied Machine Learning (RML) https://sites.google.com/view/roboticsmachinelearning (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
2016/01/01 - 2024/12/01 AE for IEEE IROS (25, 24, 23, 22), IEEE ITSC (25, 24, 23, 22, 21, 20, 19), IEEE IV (25, 24, 23, 22, 21, 20), IEEE ICARSC (2021), ICAR (19); Industry chair for ECMR (2023); Program chair for UK-RAS (2019); Registration chair for IEEE RO-MAN (2017); registration co-chair for ITSC (2016). Local Organizing Committee IbPRIA 2025, CONTROLO 2026. Exhibition chair for the ECMR2023. Local Organizing Committee ROBOT2023. (2016 - 2030)
Oficina (workshop) (Coorganizador)
 Universidade de Coimbra Departamento de Engenharia Electrotécnica e de Computadores, Portugal

Participação em evento

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

Consultoria / Parecer

Descrição da atividade Instituição / Organização
2022/01/06 - 2022/04/05 (2022/2023): Consultoria no âmbito do projeto Critical Soft. - "NDA". (2022): Consultoria no âmbito do projeto TheIA - data clustering for a regression problem; validation on 2 datasets; performance evaluation. Universidade de Coimbra Instituto de Sistemas e Robótica, Portugal
Distinções

Prémio

2023 Best paper Award - IEEE IV 2023
IEEE Intelligent Transportation Systems Society, Estados Unidos
2021 Best Paper Award (IEEE INDIN 2021)
IEEE, Estados Unidos

Outra distinção

2025 Invited speaker (VEHITS 2025)
2023 Honorable Mention (Dare2Change - Poster)
2014 Paper Finalist for Kazuo Tanie Best Paper Award