Cristiano Premebida
Position: Assistant Professor
Website: https://home.isr.uc.pt/~cpremebida/
Office: Gab. 3.1
Internal Phone: 239 796 319
Email: cpremebida@isr.uc.pt
Dr Cristiano Premebida is Assistant Professor in the department of electrical and computer engineering at the University of Coimbra, Portugal, where he is part of the institute of systems and robotics (ISR-UC). His main research interests are autonomous vehicles, autonomous robots, field/agricultural robotics, robotic perception, cooperative/connected intelligent transport systems (C-ITS), ADAS, machine learning, and sensor fusion. C. Premebida has collaborated on research projects in the areas related to C-ITS, autonomous driving, and applied machine learning, including national and international projects. He is IEEE-ITS society member, been serving as AE in the flagship conferences ITSC and IVS, and has regularly organized international workshops on automated driving, AI/ML perception, and C-ITS.
Supervisor of:
Tiago Barros da Silva, Ph.D. Student
Pedro Conde, Ph.D. Student
Tiago Marta, M.Sc. Student
Carlos Miguel Mendes Gaspar, M.Sc. Student
Kennedy Mota, Ph.D. Student
Wilgo Moreira, Ph.D. Student
Chaymaa Fakrane, Ph.D. Student
Mário Rui Mendes Reis, M.Sc. Student
Sara Pereira Brito, M.Sc. Student
Journals
G. Melotti,
W. Lu, P. Conde,
D. Zhao, A. Asvadi,
N. Gonçalves,
C. Premebida,
Probabilistic approach for road-users detection, IEEE Transactions on Intelligent Transportation Systems, 2023
https://doi.org/10.1109/TITS.2023.3268578
https://doi.org/10.1109/TITS.2023.3268578
W. Lu, , C. Premebida,
D. Zhao, L. Zhang, W. Zhao,
Improving 3d vulnerable road user detection with point augmentation, IEEE Transactions on Intelligent Vehicles, 2023
https://doi.org/10.1109/TIV.2023.3246797
https://doi.org/10.1109/TIV.2023.3246797
Jorge Sampaio Silveira Júnior,
Jérôme Mendes,
Francisco Souza,
C. Premebida,
Survey on Deep Fuzzy Systems in regression applications: a view on interpretability, International Journal of Fuzzy Systems, 1-22, 2023
https://doi.org/10.1007/s40815-023-01544-8
https://doi.org/10.1007/s40815-023-01544-8
Conferences
P. Conde,
T. Barros da Silva,
C. Premebida,
U. J. Nunes,
ECE-based Deep Ensemble for Neural Network Calibration in Satellite Image Classification, 2023 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC), Tomar, Portugal, 2023
https://doi.org/10.1109/ICARSC58346.2023.10129562
https://doi.org/10.1109/ICARSC58346.2023.10129562
E. Sousa, KOS. Mota, IP. Gomes, L. Artur da Silva Garrote,
DF Wolf, C. Premebida,
Late-Fusion Multimodal Human Detection Based on RGB and Thermal Images for Robotic Perception, In: European Conference on Mobile Robots (ECMR), 2023
G. Gonç, U. Andriolo, L. Paiva, C. Premebida,
A. Ferraz ,
Modelling the Dependence of Chlorophyll Leaf-Clip Measures on Vegetation Indices Derived from Multispectral UAS Images in Vineyards Parcels, In: IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2023
N. Cunha,
T. Barros da Silva,
M. Mendes Reis,
T. Marta,
C. Premebida,
U. J. Nunes,
Multispectral Image Segmentation in Agriculture: A Comprehensive Study on Fusion Approaches, In: Proc. of the Iberian Robotics Conference (ROBOT), 2023
IP. Gomes, C. Premebida,
DF. Wolf ,
Interaction-aware Maneuver Prediction for Autonomous Vehicles using Interaction Graphs, In: IEEE Intelligent Vehicles Symposium (IV) (Best Paper Award), 1-8, 2023
T. Barros da Silva,
L. Artur da Silva Garrote,
Martin Aleksandrov, C. Premebida,
U. J. Nunes,
TReR: A Lightweight Transformer Re-Ranking Approach for 3D LiDAR Place Recognition, 26th IEEE International Conference on Intelligent Transportation Systems (ITSC 2023), Bilbao-Bizkaia, Spain, 2023
https://arxiv.org/pdf/2305.18013.pdf
https://arxiv.org/pdf/2305.18013.pdf
Journals
Francisco Souza,
C. Premebida,
R. Araújo,
High-order conditional mutual information maximization for dealing with high-order dependencies in feature selection, Pattern Recognition, Vol. 131, pp. 108895, 2022
T. Barros da Silva,
P. Conde,
Gil Goncalves, C. Premebida,
M. Monteiro, Carla S.S. Ferreira, U. J. Nunes,
,
Multispectral vineyard segmentation: A deep learning comparison study Computers and Electronics in Agriculture, Elsevier, vol. 195, 106782, 2022
https://doi.org/10.1016/j.compag.2022.106782
https://doi.org/10.1016/j.compag.2022.106782
Conferences
T. Barros da Silva,
L. Artur da Silva Garrote,
R. Pereira,
C. Premebida,
U. J. Nunes,
AttDLNet: Attention-based Deep Network for 3D LiDAR Place Recognition, ROBOT2022 5th Iberian Robotics Conference, Zaragoza, Spain, 2022
Conferences
Jorge Sampaio Silveira Júnior,
Jérôme Mendes,
R. Araújo,
J. Ruivo Carvalho Paulo,
C. Premebida,
19th IEEE International Conference on Industrial Informatics, Novelty Detection for Iterative Learning of MIMO Fuzzy Systems (BEST PAPER AWARD), Palma, Spain, 2021
Jorge Sampaio Silveira Júnior,
Jérôme Mendes,
R. Araújo,
J. Ruivo Carvalho Paulo,
C. Premebida,
Novelty Detection for Iterative Learning of MIMO Fuzzy Systems, Proc. IEEE 19th International Conference on Industrial Informatics (INDIN 2021), pp. 1-7, Palma de Mallorca, Spain, 2021
https://doi.org/10.1109/INDIN45523.2021.9557354
https://doi.org/10.1109/INDIN45523.2021.9557354
Conferences
Jack N.C. Hayton, T. Barros da Silva,
C. Premebida,
Matthew J. Coombes, U. J. Nunes,
CNN-based Human Detection Using a 3D LiDAR onboard a UAV, IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC), Ponta Delgada, Portugal, 2020
G. Melotti,
C. Premebida,
N. Gonçalves,
Multimodal deep-learning for object recognition combining camera and LIDAR data, In 2020 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC), pp. 177-182, IEEE, 2020
Jordan J. Bird, Diego R. Faria, C. Premebida,
Anikó, ,
Look and Listen: A Multi-Modality Late Fusion Approach to Scene Classification for Autonomous Machines, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2020), 2020
G. Melotti,
C. Premebida,
Jordan J. Bird, Diego R. Faria, N. Gonçalves,
Probabilistic Object Classification using CNN ML-MAP layers, European Conference on Computer Vision (ECCV), Workshop on Perception for Autonomous Driving (PAD), 2020
Books
C. Premebida,
G. Melotti,
A. Asvadi,
Classification for Autonomous Driving Perception, in RGB-D Image Analysis and Processing, Paul L. RosinYu-Kun LaiLing ShaoYonghuai Liu, Springer, 2019
Book Sections
C. Premebida,
G. Melotti,
A. Asvadi,
RGB-D Object Classification for Autonomous Driving Perception, in RGB-D Image Analysis and Processing, Paul L. RosinYu-Kun LaiLing ShaoYonghuai Liu, Springer, 2019
Conferences
L. Artur da Silva Garrote,
Miguel Torres, T. Barros da Silva,
J. Perdiz,
C. Premebida,
U. J. Nunes,
"Mobile Robot Localization with Reinforcement Learning Map Update Decision aided by an Absolute Indoor Positioning System", IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2019), Macau, China, 2019
T. Barros da Silva,
L. Artur da Silva Garrote,
R. Pereira,
C. Premebida,
U. J. Nunes,
“Improving Localization by Learning Pole-like Landmarks Using a Semi-supervised Approach”, Fourth Iberian Robotics Conference (ROBOT 2019), Porto, 2019
J. Pereira,
C. Premebida,
A. Asvadi,
F. Cannata,
L. Artur da Silva Garrote,
U. J. Nunes,
Test and Evaluation of Connected and Autonomous Vehicles in Real-world Scenarios, IEEE Intelligent Vehicles Symposium (IV), 14-19, 2019
Journals
A. Asvadi,
L. Artur da Silva Garrote,
C. Premebida,
P. Peixoto,
U. J. Nunes,
Multimodal vehicle detection: fusing 3D-LIDAR and color camera data, Pattern Recognition Letters , Elsevier, 2018
http://dx.doi.org/10.1016/j.patrec.2017.09.038
http://dx.doi.org/10.1016/j.patrec.2017.09.038
Conferences
G. Melotti,
C. Premebida,
N. Gonçalves,
U. J. Nunes,
D. R. Faria,
Multimodal CNN Pedestrian Classification: A Study on Combining Lidar and Camera Data, 21st IEEE International Conference on Intelligent Transportation Systems, Hawaii, USA, 2018
L. Artur da Silva Garrote,
C. Premebida,
D. Silva,
U. J. Nunes,
HMAPs Hybrid Height-Voxel Maps for Environment Representation, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2018), Madrid, Spain, 2018
Journals
C. Premebida,
D. R. Faria,
U. J. Nunes,
Dynamic Bayesian Network for semantic place classification in mobile robotics, Autonomous Robots, vol. 41, 5, Springer, 2017
http://dx.doi.org/10.1007/s10514-016-9600-2
http://dx.doi.org/10.1007/s10514-016-9600-2
Book Sections
C. Premebida,
Francisco Souza,
D. R. Faria,
Dynamic Bayesian Network for time dependent classification problems in robotics, Chapter 15 of Book "Bayesian Inference, Javier Prieto Tejedor (Ed.), Intech, 2017
http://dx.doi.org/10.5772/intechopen.70059
http://dx.doi.org/10.5772/intechopen.70059
A. Asvadi,
L. Artur da Silva Garrote,
C. Premebida,
P. Peixoto,
U. J. Nunes,
Real-Time Deep ConvNet-Based Vehicle Detection Using 3D-LIDAR Reflection Intensity Data., In: Ollero A., Sanfeliu A., Montano L., Lau N., Cardeira C. (eds) ROBOT 2017: Third Iberian Robotics Conference. ROBOT 2017 Advances in Intelligent Systems and Computing, vol 694, Springer, Cham, 2017
https://doi.org/10.1007/978-3-319-70836-2_39
https://doi.org/10.1007/978-3-319-70836-2_39
Conferences
L. Artur da Silva Garrote,
J. Rosa,
J. Ruivo Carvalho Paulo,
C. Premebida,
P. Peixoto,
U. J. Nunes,
3D point cloud downsampling for 2D indoor scene modelling in mobile robotics, IEEE International Conference on Autonomous Robot Systems and Competitions, ICARSC 2017, Coimbra, Portugal , 2017
http://dx.doi.org/10.1109/ICARSC.2017.7964080
http://dx.doi.org/10.1109/ICARSC.2017.7964080
J. Ruivo Carvalho Paulo,
L. Artur da Silva Garrote,
C. Premebida,
A. Asvadi,
D. Almeida,
A. Barata Pires Lopes,
P. Peixoto,
An innovative robotic walker for mobility assistance and lower limbs rehabilitation, 5th Portuguese Meeting on Bioengineering, ENBENG 2017, Coimbra, Portugal , 2017
http://dx.doi.org/10.1109/ENBENG.2017.7889450
http://dx.doi.org/10.1109/ENBENG.2017.7889450
R. Loureiro,
A. Lopes,
C. De Paulo Carona,
D. Almeida,
F. Da Cunha e Castro Faria,
L. Artur da Silva Garrote,
C. Premebida,
U. J. Nunes,
ISR-RobotHead: Robotic head with LCD-based emotional expressiveness, 5th IEEE Portuguese Meeting on Bioengineering (ENBENG), Coimbra, Portugal , 2017
http://dx.doi.org/10.1109/ENBENG.2017.7889437
http://dx.doi.org/10.1109/ENBENG.2017.7889437
A. Asvadi,
L. Artur da Silva Garrote,
C. Premebida,
P. Peixoto,
U. J. Nunes,
DepthCN: Vehicle Detection Using 3D-LIDAR and ConvNet, IEEE 20th International Conference on Intelligent Transportation Systems (ITSC 2017), Yokohama, Japan, 2017
A. Asvadi,
L. Artur da Silva Garrote,
C. Premebida,
P. Peixoto,
U. J. Nunes,
Real-Time Deep ConvNet-based Vehicle Detection Using 3D-LIDAR Reflection Intensity Data, Special Session on Autonomous Driving and Driver Assistance Systems, ROBOT 2017, Seville, Spain , 2017
http://dx.doi.org/10.1007/978-3-319-70836-2_39
http://dx.doi.org/10.1007/978-3-319-70836-2_39
J. Ruivo Carvalho Paulo,
L. Artur da Silva Garrote,
A. Asvadi,
C. Premebida,
P. Peixoto,
Short-range gait pattern analysis for potential applications on assistive robotics, 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN 2017), Lisbon, Portugal , 2017
http://dx.doi.org/10.1109/ROMAN.2017.8172288
http://dx.doi.org/10.1109/ROMAN.2017.8172288
D. R. Faria,
M. Vieira,
F. Da Cunha e Castro Faria,
C. Premebida,
Affective Facial Expressions Recognition for Human-Robot Interaction, 26th IEEE Int. Symposium on Robot and Human Interactive Communication (RO-MAN 2017), 2017
http://dx.doi.org/10.1109/ROMAN.2017.8172395
http://dx.doi.org/10.1109/ROMAN.2017.8172395
Journals
A. Asvadi,
C. Premebida,
P. Peixoto,
U. J. Nunes,
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, ELSEVIER, 2016
http://dx.doi.org/10.1016/j.robot.2016.06.007
http://dx.doi.org/10.1016/j.robot.2016.06.007
Conferences
C. Premebida,
L. Artur da Silva Garrote,
A. Asvadi,
Pedro Pinto,
U. J. Nunes,
High-resolution LIDAR-based Depth Mapping using Bilateral Filter, IEEE 19th Int. Conference on Intelligent Transportation Systems, Rio de Janeiro, Brazil, 2016
Conferences
C. Premebida,
D. R. Faria,
Francisco Souza,
U. J. Nunes,
Applying Probabilistic Mixture Models to Semantic Place Classification in Mobile Robotics, IEEE/RSJ Int. Conference on Intelligent Robots and Systems (IROS 2015), Hamburg, Germany, 2015
C. Premebida,
J. Sousa,
L. Artur da Silva Garrote,
U. J. Nunes,
Polar-grid representation and Kriging-based 2.5D interpolation for urban environment modelling, IEEE ITSC15: 18th International Conference on Intelligent Transportation Systems, Las Palmas, Spain, 2015
D. R. Faria,
M. Vieira,
C. Premebida,
U. J. Nunes,
Probabilistic Human Daily Activity Recognition towards Robot-assisted Living, IEEE RO-MAN'15: IEEE International Symposium on Robot and Human Interactive Communication, Japan, 2015
Journals
R. Pascoal,
V. Santos,
C. Premebida,
U. J. Nunes,
Simultaneous Segmentation and Superquadrics Fitting in Laser-Range Data, IEEE Transactions on Vehicular Technology , 2014
Conferences
C. Premebida,
J. Carreira,
J. Batista,
U. J. Nunes,
Pedestrian Detection Combining RGB and Dense LIDAR Data, IEEE Int. Conference on Intelligent Robots and Systems (IROS 2014), Chicago, USA, 2014
D. R. Faria,
C. Premebida,
U. J. Nunes,
A Probalistic Approach for Human Everyday Activities Recognition using Body Motion from RGB-D Images, Proceedings of IEEE RO-MAN'14: IEEE International Symposium on Robot and Human Interactive Communication, Edinburgh, United Kingdom, 2014
Kazuo Tanie Award Finalist (award focusing on practical application or one that can be applied to real products)
Kazuo Tanie Award Finalist (award focusing on practical application or one that can be applied to real products)
L. Artur da Silva Garrote,
C. Premebida,
M. Silva,
U. J. Nunes,
An RRT-based Navigation Approach for Mobile Robots and Automated Vehicles, 12th IEEE Int. Conference on Industrial Informatics (INDIN2014), Porto Alegre, Brazil, 2014
R. Fernandes,
C. Premebida,
P. Peixoto,
D. Wolf,
U. J. Nunes,
Road Detection Using High Resolution LIDAR, IEEE Vehicle Power and Propulsion Conference (VPPC2014), 2014
Journals
O. Ludwig,
U. J. Nunes,
B. Ribeiro,
C. Premebida,
Improving the Generalization Capacity of Cascade Classifiers , IEEE Transactions on Cybernetics, Vol. 43 (6), 2013
http://dx.doi.org/10.1109/TCYB.2013.2240678
http://dx.doi.org/10.1109/TCYB.2013.2240678
D. Olmeda,
C. Premebida,
U. J. Nunes,
J. Armingol,
A. Escalera,
"Pedestrian Detection in Far Infrared Images", Integrated Computer-Aided Engineering, Volume 20, Number 4 / 2013, IOS Press, 2013
http://dx.doi.org/10.3233/ICA-130441
http://dx.doi.org/10.3233/ICA-130441
C. Premebida,
U. J. Nunes,
Fusing LIDAR, camera and semantic information: a context-based approach for pedestrian detection, International Journal of Robotics Research, Sage, 2013
Conferences
Michel Antunes,
J. P. Barreto,
C. Premebida,
U. J. Nunes,
Can stereo vision replace a Laser Rangefinder?, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2012), Vilamoura, Portugal, 2012
Thesis
C. Premebida,
Pedestrian Detection using Laser and Vision., Ph.D. Thesis, University of Coimbra, Portugal, 2012, Supervised by
Urbano J. Nunes
Conferences
O. Ludwig,
C. Premebida,
U. J. Nunes,
R. Araújo,
Evaluation of Boosting-SVM and SRM-SVM Cascade Classifiers in Laser and Vision-based Pedestrian, Proc. 14th International IEEE Conference on Intelligent Transportation Systems (ITSC 2011), Washington DC, USA, 2011
http://dx.doi.org/10.1109/ITSC.2011.6082909
WOS:000298654700258
http://dx.doi.org/10.1109/ITSC.2011.6082909
WOS:000298654700258
Conferences
C. Premebida,
O. Ludwig,
M. Silva,
U. J. Nunes,
A Cascade Classifier applied in Pedestrian Detection using Laser and Image-based Features, in 13th IEEE ITSC2010, Funchal, Portugal, 2010
Journals
C. Premebida,
O. Ludwig,
U. J. Nunes,
LIDAR and vision-based pedestrian detection system, Journal of Field Robotics, 26(9), pp.696-711, Wiley, 2009
Conferences
C. Premebida,
O. Ludwig,
J. Matsuura,
U. J. Nunes,
Exploring Sensor Fusion Schemes for Pedestrian Detection in Urban Scenarios, in Proc. IEEE/RSJ IROS2009 Workshop on: Safe Navigation in Open and Dynamic Environments, St. Louis, MO, USA, 2009
C. Premebida,
O. Ludwig,
U. J. Nunes,
Exploiting LIDAR-based Features on Pedestrian Detection in Urban Scenarios, In: Proc. of the IEEE ITSC 2009, USA, 2009
Conferences
C. Premebida,
G. Monteiro,
U. J. Nunes,
P. Peixoto,
A Lidar and Vision-based Approach for Pedestrian and Vehicle Detection and Tracking, In: Proc. of the IEEE ITSC 2007, pp- 1044 - 1049, Seattle, USA, 2007
Conferences
C. Premebida,
U. J. Nunes,
A Multi-Target Tracking and GMM-Classifier for Intelligent Vehicles, In: Proc. of the IEEE ITSC 2006, pp. 313-318, Toronto, Canada, 2006
G. Monteiro,
C. Premebida,
P. Peixoto,
U. J. Nunes,
Tracking and Classification of Dynamic Obstacles Using Laser Ranger Finder and Vision, In: Proc. IEEE/RSJ Worshop on: Safe Navigation in Open and Dynamic Environmentts hold at the IROS2006, Beijing, China, 2006
Thesis
C. Premebida,
Detecção e Classificacao de Objectos em Ambiente Exterior para Veiculos Autonomos, M.Sc. Thesis, Departamento de Engenharia Electrotécnica e de Computadores, Universidade de Coimbra, Portugal, 2006, Supervised by
Urbano J. Nunes
Conferences
C. Premebida,
U. J. Nunes,
Segmentation and Geometric Primitives Extraction from 2D Laser Range Data for Mobile Robot Applications, In: Proc. 5rd National Festival of Robotics Scientific Meeting (ROBOTICA), pp- 17-25, Coimbra, Portugal, 2005
Ph.D. Thesis
Gledson Melotti,
Reducing Overconfident Predictions in Multimodality Perception for Autonomous Driving (4/2023) Supervised by
Cristiano Premebida
and
Nuno Miguel Gonçalves
M.Sc. Thesis
Jorge Fernando Alvarinhas Pereira,
Wildfire Spread Prediction Model Calibration Using Metaheuristic Algorithms (4/2022) Supervised by
Jérôme Mendes
and
Cristiano Premebida
Miguel Torres,
Exploiting particle-filter based fusion for mobile robot localization (9/2018) Supervised by
Cristiano Premebida
and
Urbano J. Nunes
João Cachulo Soares,
Valve and Steam Trap Component Recognition Using Machine Vision in an Industrial Application (9/2016) Supervised by
Cristiano Premebida
and
Urbano J. Nunes
David Silva,
Grid-Based Representations in Mobile Robotics Using Multisensory Data (2/2016) Supervised by
Cristiano Premebida
and
Urbano J. Nunes
Pedro Miguel Moreira,
Percepção multisensorial baseado em grelhas para robótica móvel (2/2015) Supervised by
Cristiano Premebida
and
Urbano J. Nunes