Paulo Peixoto

    Name: Paulo Peixoto, Ph.D.
    Position: Associate Professor
    Website: http://www.deec.uc.pt/~peixoto/index.php
    Office: 3A.20
    Internal Phone: 421371
    Email: peixoto@isr.uc.pt





    Supervisor of:
    João Luís Ruivo Carvalho Paulo, Research Engineer
    Miguel Diogo, Ph.D. Student
    Maria Eduarda Andrada, Ph.D. Student
    Habibu Mukhandi, Ph.D. Student
    Luís Gaspar, Research Engineer
    Duarte Cruz, M.Sc. Student
    Ana Leite, M.Sc. Student
    Joaquim Meruje, M.Sc. Student
    Diogo Mendes, M.Sc. Student




    Journals

    D. Rocha, P. Lopes, P. Peixoto, A. de Almeida, M. Tavakoli, Miniaturized Liquid Metal Composite Circuits with Energy Harvesting Coils for Battery-Free Bioelectronics and Optogenetics, Advanced Functional Materials, Volume 35, Issue 13, 2025
    https://doi.org/10.1002/adfm.202417053

    Journals

    H. Mukhandi, J. F. Ferreira, P. Peixoto, SyS3DS: Systematic Sampling of Large-Scale LiDAR Point Clouds for Semantic Segmentation in Forestry Robotics, Sensors, 24(3), 823, 2024
    https://doi.org/10.3390/s24030823

    Conferences

    Miguel Diogo, L. Conde Bento, P. Peixoto, Performance Evaluation of Popular Visual Classifiers on Plant Leaf Classification, 2024 IEEE International Conference on Engineering, Technology, and Innovation (ICE/ITMC), Funchal, Portugal, 2024
    Tojal C., L. Conde Bento, P. Peixoto, CUPREDS: Multi-sensor Point Cloud Mapping for Local Navigation, 2024 IEEE International Conference on Autonomous Robot Systems and Competitions, ICARSC 2024, pp. 47 – 53, 2024
    https://doi.org/10.1109/ICARSC61747.2024.10535926

    Journals

    J. F. Ferreira, David Portugal, Maria Eduarda Andrada, Pedro Machado, R. P. Rocha, P. Peixoto, Sensing and Artificial Perception for Robots in Precision Forestry: A Survey, Robotics, 12(5), 139, MDPI, 2023
    https://doi.org/10.3390/robotics12050139
    J. F. Ferreira, David Portugal, Maria Eduarda Andrada, P. Machado, P. Peixoto, Sensing and Artificial Perception for Robots in Precision Forestry – a Survey, Robotics, Special Issue on Robotics and AI for Precision Agriculture, 12 (5): 139, 2023
    L. Esteves, David Portugal, P. Peixoto, G. Falcão, Towards Mobile Federated Learning with Unreliable Participants and Selective Aggregation, Applied Sciences, Special Issue on Federated and Transfer Learning Applications, Vol. 13, pp. 3135, 2023
    https://doi.org/10.3390/app13053135

    Conferences

    Bidault, P. Peixoto, A Procedural Generation Tool of Synthetic Photorealistic Forest Datasets, ROBOT2023: 6th Iberian Robotics Conference, Coimbra, Portugal, 2023

    Journals

    Amorim P, Paulo JR, Silva PA, P. Peixoto, M. Castelo-Branco, Martins H., Machine Learning Applied to Low Back Pain Rehabilitation – A Systematic Review, International Journal of Digital Health, 1(1):10, 2021
    http://doi.org/10.29337/ijdh.34

    Conferences

    J. Ruivo Carvalho Paulo, L. Artur da Silva Garrote, P. Peixoto, U. J. Nunes, Spatiotemporal 2D Skeleton-based Image for Dynamic Gesture Recognition Using Convolutional Neural Networks , 2021 30th IEEE International Conference on Robot & Human Interactive Communication (RO-MAN), pp. 1138–1144, Canada, 2021
    https://doi.org/10.1109/RO-MAN50785.2021.9515418

    Journals

    Alberto Fernandez-Isabel, P. Peixoto, Isaac Martin de Diego, Cristina Conde, Enrique Cabello, , , , Combining Dynamic Finite State Machines and Text-based Similarities to Represent Human Behavior, Engineering Applications of Artificial Intelligence, Vol. 85, pp 504-516, 2019
    https://doi.org/10.1016/j.engappai.2019.07.006
    J. Ruivo Carvalho Paulo, P. Peixoto, Paula Amorim, Trajectory-based Gait Pattern Shift Detection for Assistive Robotics Applications, Intelligent Service Robotics, Volume 12, Issue 3, pp 255–264, 2019
    https://doi.org/10.1007/s11370-019-00280-z

    Conferences

    P. Girão, J. Ruivo Carvalho Paulo, L. Artur da Silva Garrote, U. J. Nunes, P. Peixoto, Markerless Multi-View-Based Multi-User Head Tracking System for Virtual Reality Applications, IEEE International Conference on Systems, Man and Cybernetics (SMC), Bari, Italy, 2019
    https://doi.org/10.1109/SMC.2019.8914350
    J. Ruivo Carvalho Paulo, P. Girão, P. Peixoto, Multi-view Robust Gesture Recognition for Assistive Interfaces, XV Mediterranean Conference on Medical and Biological Engineering and Computing – MEDICON 2019, Coimbra, Portugal , 2019
    https://doi.org/10.1007/978-3-030-31635-8_205

    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
    J. Ruivo Carvalho Paulo, A. Asvadi, P. Peixoto, P. Amorim, Human gait pattern changes detection system: A multimodal vision-based and novelty detection learning approach, Biocybernetics and Biomedical Engineering, Volume 37, Issue 4, Pages 701-717, 2018
    https://doi.org/10.1016/j.bbe.2017.08.002

    Book Sections

    P. Girão, J. Ruivo Carvalho Paulo, L. Artur da Silva Garrote, P. Peixoto, Real-Time Multi-view Grid Map-Based Spatial Representation for Mixed Reality Applications, In: De Paolis L., Bourdot P. (eds) Augmented Reality, Virtual Reality, and Computer Graphics. Lecture Notes in Computer Science, vol 10850, pp. 322-339, Springer, Cham, 2018
    https://doi.org/10.1007/978-3-319-95270-3_27

    Conferences

    L. Artur da Silva Garrote, J. Ruivo Carvalho Paulo, P. Peixoto, U. J. Nunes, Robot-Assisted //Navigation for a Robotic Walker with Aided User Intent, 27th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN2018), Nanjing, China, 2018

    Journals

    J. Ruivo Carvalho Paulo, P. Peixoto, U. J. Nunes, ISR-AIWALKER: Robotic Walker for Intuitive and Safe Mobility Assistance and Gait Analysis, IEEE Transactions on Human-Machine Systems, Vol. 47, 6, Pages 1110-1122 , 2017
    http://dx.doi.org/10.1109/THMS.2017.2759807
    U. Miguel Nunes, D. R. Faria, P. Peixoto, A Human Activity Recognition Framework Using Max-Min Features and Key Poses With Differential Evolution Random Forests Classifier, Pattern Recognition Letters, Volume 99, Pages 21-31 , Elsevier, 2017
    http://dx.doi.org/10.1016/j.bbe.2017.08.002
    K. Khoshhal Roudposhti, J. Dias, P. Peixoto, V. Metsis, U. J. Nunes, A Multilevel Body Motion-based Human Activity Analysis Methodology, IEEE Transactions on Cognitive and Developmental Systems, vol.9, no.1, 2017
    http://dx.doi.org/10.1109/TCDS.2016.2607154

    Book Sections

    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

    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
    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
    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
    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

    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

    Conferences

    A. Asvadi, P. Girão, P. Peixoto, U. J. Nunes, 3D Object Tracking using RGB and LIDAR Data, IEEE 19th Int. Conference on Intelligent Transportation Systems, Rio de Janeiro, Brazil, 2016
    P. Girão, A. Asvadi, P. Peixoto, U. J. Nunes, 3D Object Tracking in Driving Environment: a short review and a benchmark dataset, PPNIV16 Workshop, IEEE 19th Int. Conference on Intelligent Transportation Systems (ITSC 2016), Rio de Janeiro, Brasil, 2016
    U. Miguel Nunes, D. R. Faria, P. Peixoto, Human Activity Recognition using Max-Min Skeleton-based Features and Key Poses, IEEE RO-MAN'16 Workshop on Behavior Adaptation, Interaction and Learning for Assistive Robotics (BAILAR), NY, USA, 2016

    Conferences

    A. Asvadi, P. Peixoto, U. J. Nunes, Two-Stage Static/Dynamic Environment Modeling Using Voxel Representation, Robot 2015: Second Iberian Robotics Conference, vol. 1, pp. 465-476, Springer International Publishing, 2015
    http://dx.doi.org/10.1007/978-3-319-27146-0_36
    A. Asvadi, P. Peixoto, U. J. Nunes, Detection and Tracking of Moving Objects Using 2.5D Motion Grids, IEEE ITSC15: 18th International Conference on Intelligent Transportation Systems, Las Palmas, Spain, 2015
    http://dx.doi.org/10.1109/ITSC.2015.133
    J. Ruivo Carvalho Paulo, P. Peixoto, U. J. Nunes, A Novel Vision-based Human-Machine Interface for a Robotic Walker Framework, IEEE RO-MAN'15: IEEE International Symposium on Robot and Human Interactive Communication, Japan, 2015

    Conferences

    J. Ruivo Carvalho Paulo, P. Peixoto, Classification of Reaching and Gripping Gestures for Safety on Walking Aids, IEEE RO-MAN '14 - The 23rd IEEE International Symposium on Robot and Human Interactive Communication, Edinburgh, Scotland, 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

    L. Oliveira, U. J. Nunes, P. Peixoto, M. Silva, F. Moita, Semantic Fusion of Laser and Vision in Pedestrian Detection, Pattern Recognition, Vol. 43, Issue 10, Elsevier, 2010
    L. Oliveira, U. J. Nunes, P. Peixoto, On Exploration of Classifier Ensemble Synergism in Pedestrian Detection, IEEE Transactions on Intelligent Transportation Systems, vol.11, n.1, 2010

    Book Sections

    R. Araújo, U. J. Nunes, L. Oliveira, P. Sousa, P. Peixoto, Support Vector Machines and Features for Environment Perception in Mobile Robotics, 'Computational Intelligence Paradigms: Innovative Applications', Studies in Computational Intelligence, Lakhmi C. Jain, Mika Sato-Ilic, Maria Virvou, George A. Tsihrintzis, Valentina Emilia Balas, Canicious Abeynayake , Vol. SCI 137, pp. 219-250, Heidelberg, Germany, 2008
    http://dx.doi.org/10.1007/978-3-540-79474-5_11
    http://dx.doi.org/10.1007/978-3-540-79474-5_11

    Conferences

    C. Maduro, K. Batista, P. Peixoto, J. Batista, Estimation of Vehicle Velocity and Traffic Intensity using Rectified Images, ICIP 2008 – IEEE Int. Conference on Image Processing, San Diego, California, USA, 2008
    C. Maduro, K. Batista, P. Peixoto, J. Batista, Estimating Vehicle Velocity using Rectified Images, VISAPP 2008 – Int. Conf. On Computer Vision Theory and Applications, Funchal, Madeira, 2008

    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
    C. Maduro, K. Batista, P. Peixoto, J. Batista, Estimating Vehicle Velocity using Rectified Images, RecPad’2007-13th Portuguese Conference on Pattern Recognition, Lisbon, Portugal, 2007
    L. Oliveira, P. Peixoto, U. J. Nunes, A hierachical fuzzy integration of local and global feature-based classifiers to recognize objects in autonomous vehicles, in ICRA07 Workshop on Planning, Perception and Navigation for Intelligent Vehicles, Rome, Italy, 2007

    Conferences

    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

    Book Sections

    H. Araújo, J. Dias, J. Batista, P. Peixoto, Active Vision for Autonomous Systems, Autonoumous Robotic Systems”, Anibal T. De Almeida and Oussama Khatib (Eds), Lectures Notes in Control and Information Sciences, 236, Springer-Verlag, 1998

    Conferences

    H. Araújo, J. Dias, J. Batista, P. Peixoto, A Control Architecture for Active Vision Systems Enabling Real Time Operation, II Workshop em Visão Cibernética, Instituto de Física e Química de São Carlos, Universidade de São Paulo, São Paulo, 1996
    H. Araújo, J. Batista, P. Peixoto, J. Dias, Pursuit Control in a Binocular Active Vision System Using Optical Flow, 13th International Conference on Pattern Recognition, Volume I, pp. 313-317, Viena, 1996
    http://dx.doi.org/10.1109/ICPR.1996.546040
    H. Araújo, J. Batista, P. Peixoto, J. Dias, Gaze Control in a Binocular Active Vision System Using Optical Flow, Proceedings of the 4th International Symposium on Intelligent Robotic Systems, pp. 181-188, Lisboa, 1996
    J. Dias, H. Araújo, J. Batista, P. Peixoto, Active Vision Architectures for Autonomous Systems, VICAM'96 - Euroconference Workshop on Vision for Control Aspects of Mechatronics, Guimarães, 1996

    Conferences

    H. Araújo, J. Dias, J. Batista, P. Peixoto, Autonomous Robots and Active Vision Systems: Issues on Architectures and Integration, EPIA - 7th Portuguese Conference on Artificial Intelligence, Workshop on Applications of AI to Robotics and Vision Systems, Funchal, Madeira, 1995

    Conferences

    P. Peixoto, P. Faia, J. Dias, H. Araújo, Simulation and comparision of algorithms for single target track initition in a multi-sensor cluttered environment, RECPAD 92, 4th Portuguese Conference on Pattern Recognition, Portugal, 1992

    Ph.D. Thesis

    Alireza Asvadi, Multi-Sensor Object Detection for Autonomous Driving (9/2018) Supervised by Urbano J. Nunes and Paulo Peixoto

    João Luís Ruivo Carvalho Paulo, A Multimodal HMI Approach for Interaction, User Modeling and Automatic Gait Analysis on a Robotic Walker (6/2018) Supervised by Paulo Peixoto

    L. Oliveira, Semantically Integrating LIDAR and Vision in Pedestrian Detection (5/2010) Supervised by Urbano J. Nunes and Paulo Peixoto

    M.Sc. Thesis

    Ana Leite, UAV-Based Multispectral Imaging for Forest Management (2/2025) Supervised by Paulo Peixoto and David Portugal

    Miguel Tiago Vieira Vasques, Multimodal Terrain Traversability Analysis for Unmanned Ground Vehicles in Forestry Environments (9/2024) Supervised by Paulo Peixoto

    Pedro Tomás, Forest Mapping Based on 3D LiDAR (7/2024) Supervised by Paulo Peixoto and David Portugal

    Pedro Miguel Cera Ramos dos Santos, Skeleton Based Human Activity Performance Evaluation In Tele-Rehabilitation (9/2023) Supervised by João Luís Ruivo Carvalho Paulo and Paulo Peixoto

    Ruben Bidarra Bidault, Synphorest v2.0 Synthetic Photorealistic Forest Environment Generation Using Unreal Engine 5 (7/2023) Supervised by Paulo Peixoto

    Miguel Ângelo Soares Cerveira Varandas, 3D Human Pose And Shape Estimation For Autonomous Telerehabilitation Systems (7/2023) Supervised by João Luís Ruivo Carvalho Paulo and Paulo Peixoto

    Dylan Bicho, Deteção e Seguimento de Objetos utilizando Grelhas de Ocupação para Aplicações em Realidade Aumentada (10/2018) Supervised by Paulo Peixoto

    Francisco Miguel Moreira Miranda Melo Tavares, Identificação de Conteúdos de Vídeo baseada na Análise de Textura e Movimento (10/2017) Supervised by Paulo Peixoto

    José Medeiros, Child-Robot interaction: Learning by Imitation using Motion Generalization (11/2016) Supervised by Paulo Peixoto

    Pedro Girão, 3D Object Tracking Using RGB Camera and 3D-LiDAR Data (11/2016) Supervised by Paulo Peixoto

    Urbano Miguel Nunes, Keyframe Based Human Activity Recognition Using Random Forests (7/2016) Supervised by Paulo Peixoto