Oswaldo Ludwig

    Name: Oswaldo Ludwig, Ph.D.
    Position: Postdoctoral Fellow
    Website: http://webmail.isr.uc.pt/~oludwig/
    Office: Gab 0.19
    Email: oludwig@isr.uc.pt



    Oswaldo Ludwig received the M.Sc. degree in electrical engineering from the Federal University of Bahia, Brazil, in 2004, when he began to teach courses in electrical engineering, such as artificial intelligence, digital control, and digital signal processing. In 2012 he received the PhD degree in electrical engineering from the University of Coimbra. His current research focuses on machine learning with application on several fields, such as pedestrian detection in the domain of intelligent vehicles.



    Journals

    O. Ludwig, U. J. Nunes, R. Araújo, Eigenvalue Decay: a New Method for Neural Network Regularization, Neurocomputing, Vol. 124, pp. 33-42, Elsevier, 2014
    http://dx.doi.org/10.1016/j.neucom.2013.08.005
    WOS:000326853600005

    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

    Thesis

    O. Ludwig, Study on Non-Parametric Methods for Fast Pattern Recognition with Emphasis on Neural Networks and Cascade Classifiers, Ph.D. Thesis, Universidade de Coimbra, Portugal, 2012, Supervised by Urbano J. Nunes and Rui Alexandre Matos Araújo

    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

    Journals

    O. Ludwig, U. J. Nunes, Novel Maximum-Margin Training Algorithms for Supervised Neural Networks, IEEE Transactions on Neural Networks, vol.21, issue 6, pp. 972-984, 2010

    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

    O. Ludwig, U. J. Nunes, R. Araújo, L. Schnitman, H. Lepikson, Applications of Information Theory, Genetic Agorithms, and Neural Models to Predict Oil Flow, Communications in Nonlinear Science and Numerical Simulation, Vol. 14, No. 7 , pp. 2870-2885, Elsevier, 2009
    http://dx.doi.org/10.1016/j.cnsns.2008.12.011
    WOS:000264147400005
    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
    O. Ludwig, D. Delgado, V. Gonçalves, U. J. Nunes, Trainable Classifier-Fusion Schemes: an Application to Pedestrian Detection, 12th Int. IEEE Intelligent Transportation Systems Conference (ITSC09), S. Louis, USA, 2009

    Conferences

    O. Ludwig, U. J. Nunes, Improving the Generalization Properties of Neural Networks: an Application to Vehicle Detection, in 11th International IEEE Conference on Intelligent Transportation Systems - ITSC 2008, Beijing, China, 2008
    O. Ludwig, U. J. Nunes, R. Araújo, Comparison Study of Redundant Sensor Fusion in Autonomous Vehicle Navigation, in proceedings of the CONTROLO 2008 Conference, 8th Portuguese Conference on Automatic Control, pp. 719-725, Vila Real, Portugal, 2008
    O. Ludwig, U. J. Nunes, R. Araújo, L. Schnitman, H. Lepikson, Applications of Entropy and Neural Models to Predict Oil Flow, Proc. 2nd Conference on Nonlinear Science and Complexity (NSC 2008), pp. 1-13, Porto, Portugal, 2008

    M.Sc. Thesis

    V. Gonçalves, A Comparative Analysis Between Support Vector Machine and Artificial Neural Network: Application to Pedestrian and Vehicle Detection (9/2010) Supervised by Oswaldo Ludwig and Urbano J. Nunes

    D. Delgado, Classificação e Fusão de Classificadores utilizando Redes Neuronais Artificiais: Aplicação na detecção de peões e veículos (9/2009) Supervised by Oswaldo Ludwig and Urbano J. Nunes