Journals:

[7] C. Premebida, D. Faria, U. Nunes (2016). “Dynamic Bayesian Network for semantic place classification in mobile robotics”. Autonomous Robots (AURO), Springer.
[6] A Asvadi, C. Premebida, P. Peixoto, U. Nunes (2016). “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 (RAS), Elsevier.
[5] R. Pascoal, V. Santos, C. Premebida, U. Nunes (2014). “Simultaneous Segmentation and Superquadrics Fitting in Laser-Range Data”. IEEE Transactions on Vehicular Technology. [Code].
[4] D. Olmeda, C. Premebida, U. Nunes, J.M. Armingol, A. de la Escalera (2013). “Pedestrian detection in far infrared images”. Journal of Integrated Computer-Aided Engineering; IOS Press. Vol. 20, Number 4/2013, pp. 347-360.
[3] C. Premebida, U. Nunes (2013). “Fusing LIDAR, camera and semantic information: a context-based approach for pedestrian detection”. Int. Journal of Robotics Research, IJRR, March 2013 32: 371-384.
[2] Oswaldo Ludwig, Urbano Nunes, Bernardete Ribeiro, Cristiano Premebida (2012). “Improving the Generalization Capacity of Cascade Classifiers”. Cybernetics, IEEE Transactions on , vol.PP, no.99, pp.1,12.
[1] C. Premebida, O. Ludwig and U. Nunes (2009). “LIDAR and vision-based pedestrian detection system”. Journal of Field Robotics, Wiley. Volume 26 Issue 9, pp. 696-711. [Dataset].

Book chapters:

[1] C. Premebida, F. A. de Souza, D. R. Faria (to appear, 2017). “Dynamic Bayesian Network for time dependent classification problems in robotics”. Book: "Bayesian Inference", Intech.

Conferences / Symposia / Workshops:

[24] A. Asvadi, L. Garrote, C. Premebida, P. Peixoto, U. J. Nunes (to appear, 2017). “DepthCN: Vehicle Detection Using 3D-LIDAR and ConvNet”. In: Proc. of the IEEE ITSC 2017, Yokohama, Japan.
[23] Alireza Asvadi, Luis Garrote, Cristiano Premebida, Paulo Peixoto, Urbano Nunes (to appear, 2017). “Deep ConvNet-based Vehicle Detection Using 3D-LIDAR Reflection Intensity Data”. In: Proc. of the ROBOT'2017: Third Iberian Robotics Conference, Sevilla, Spain.
[22] Diego R. Faria, Mario Vieira, Fernanda C. C. Faria, Cristiano Premebida (to appear, 2017). “Affective Facial Expressions Recognition for Human-Robot Interaction”. In: Proc. of the IEEE RO-MAN'17, Lisbon, Portugal.
[21] Joao Paulo, Luis Garrote, Alireza Asvadi, Cristiano Premebida, Paulo Peixoto (to appear, 2017). “Short-Range Gait Pattern Analysis for Potential Applications on Assistive Robotics”. In: Proc. of the IEEE RO-MAN'17, Lisbon, Portugal.
[20] L. Garrote, J. Rosa, J. Paulo, C. Premebida, P. Peixoto, U. Nunes (2017). “3D Point Cloud Downsampling for 2D Indoor Scene Modelling in Mobile Robotics”. In: Proc. of the IEEE 17th International Conference on Autonomous Robot Systems and Competitions (ICARSC).
[19] J. Paulo, L. Garrote, C. Premebida, A. Asvadi, D. Almeida, A. Lopes, P. Peixoto (2017). “An innovative robotic walker for mobility assistance and lower limbs rehabilitation”. In: Proc. of the IEEE 5th Portuguese Meeting on Bioengineering (ENBENG).
[18] R. Loureiro, A. Lopes, C. Carona, D. Almeida, F. Faria, L. Garrote, C. Premebida, U. Nunes (2017). “ISRRobotHead: Robotic head with LCD-based emotional expressiveness”. In: Proc. of the IEEE 5th Portuguese Meeting on Bioengineering (ENBENG).
[17] C. Premebida, L. Garrote, A. Asvadi, A. Pedro Ribeiro, U. Nunes (2016). “High-resolution LIDAR-based Depth Mapping using Bilateral Filter”. In: Proc. of the IEEE ITSC 2016, Rio de Janeiro, Brazil.
[16] C. Premebida, Diego R. Faria, Francisco A. de Souza, and Urbano Nunes (2015). “Applying Probabilistic Mixture Models to Semantic Place Classification in Mobile Robotics”. In: Proc. of the IEEE/RSJ IROS 2015, Hamburg, Germany.
[15] C. Premebida, Joao Sousa, Luis Garrote, and Urbano Nunes (2015). “Polar-grid representation and Kriging-based 2.5D interpolation for urban environment modelling”. In: Proc. of the IEEE ITSC 2015, Canary Islands, Spain.
[14] Diego R. Faria, Mario Vieira, C. Premebida, and U. Nunes (2015). “Probabilistic Human Daily Activity Recognition towards Robot-assisted Living”. In: Proc. of the IEEE RO-MAN'15, Kobe, Japan.
[13] R. Fernandes, C. Premebida, P. Peixoto, D. Wolf, and U. Nunes (2014). “Road Detection Using High Resolution LIDAR”. In: Proc. of the IEEE Vehicle Power and Propulsion Conference, IEEE-VPPC 2014, Coimbra, Portugal.
[12] C. Premebida, J. Carreira, J. Batista and U. Nunes (2014). “Pedestrian Detection Combining RGB and Dense LIDAR Data”. In: Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, IROS 2014, Chicago, USA. [Code].
[11] Diego R. Faria, C. Premebida and Urbano Nunes (2014). “A Probalistic Approach for Human Everyday Activities Recognition using Body Motion from RGB-D Images”. In: Proc. of the IEEE Int. Symposium on Robot and Human Interactive Communication, RO-MAN'14, Edinburgh, UK (Finalist for Kazuo Tanie Best Paper Award).
[10] Luis Garrote, C. Premebida, Marco Silva and Urbano Nunes (2014). “An RRT-based Navigation Approach for Mobile Robots and Automated Vehicles”. In: Proc. of the IEEE Int. Conf. on Industrial Informatics, INDIN 2014, Brasil.
[9] M. Antunes, J.P. Barreto, C. Premebida, U. Nunes (2012). “Can Stereo Vision Replace a Laser Rangefinder?”. In: Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, IROS 2012, Portugal.
[8] O. Ludwig, C. Premebida, U. Nunes, and R. Araujo (2011). “Evaluation of Boosting-SVM and SRM-SVM cascade classifiers in laser and vision-based pedestrian detection”. In: Proc. of the IEEE ITSC 2011, Washington-DC, USA.
[7] C. Premebida, O. Ludwig, M. Silva and U. Nunes (2010). “A Cascade Classifier applied in Pedestrian Detection using Laser and Image-based Features”. In: Proc. of the IEEE ITSC 2010, Madeira, Portugal.
[6] C. Premebida, O. Ludwig, J. Matsuura and U. Nunes (2009). “Exploring sensor fusion schemes for pedestrian detection in urban scenarios”. In: Proc. IEEE/RSJ Worshop on: Safe Navigation in Open and Dynamic Environmentts hold at the IROS2009, St. Louis, USA.[Dataset].
[5] C. Premebida, O. Ludwig and U. Nunes (2009). “Exploiting LIDAR-based Features on Pedestrian Detection in Urban Scenarios”. In: Proc. of the IEEE ITSC 2009, USA. [Dataset].
[4] C. Premebida, G. Monteiro, U. Nunes and P. Peixoto (2007). “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.
[3] G. Monteiro, C. Premebida, P. Peixoto and U. Nunes (2006). “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.
[2] C. Premebida and U. Nunes (2006). “A Multi-Target Tracking and GMM-Classifier for Intelligent Vehicles”. In: Proc. of the IEEE ITSC 2006, pp- 313 - 318, Toronto, Canada.
[1] C. Premebida and U. Nunes (2005). “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.

Technical Reports:

[4] Cristiano Premebida (2005). “Seguimento e Associacao de Dados em Tarefas de Robotica Movel Usando Informacao de um LRF". Technical report Nº ISRLM2005/05, Institute of System and Robotics - ISR, University of Coimbra, Portugal.
[3] Cristiano Premebida (2005). “Tracking and Data Association Using Data from a LRF". Technical report Nº ISRLM2005/04, Institute of System and Robotics - ISR, University of Coimbra, Portugal.
[2] Cristiano Premebida (2005). “Utilizacao de Filtro de Kalman em Processos de Segmentacao de Dados 2D de um LRF e na Predicao/Estimacao da Posicao de Objectos em Movimento". Technical report Nº ISRLM2005/03, Institute of System and Robotics - ISR, University of Coimbra, Portugal.
[1] Cristiano Premebida (2005). “Segmentation and Geometric Primitives Extraction from 2D Laser Range Data for Mobile Robot Applications”. Technical report Nº ISRLM2005/02, Institute of System and Robotics - ISR, University of Coimbra, Portugal.

Thesis:

[Phd Thesis] C. Premebida (2012). “Pedestrian Detection Using Laser and Vision”. Ph.D. Thesis; Department of Electrical and Computer Engineering; University of Coimbra, Portugal.
[Master Thesis] C. Premebida (2007). “Deteccao e Classificacao de Objectos em Ambiente Exterior para Veiculos Autonomos”. M.Sc. Thesis; Departamento de Engenharia Electrotecnica e de Computadores; Universidade de Coimbra, Portugal.

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