2020

Siddhant Ranade, Xin Yu, Shantnu Kakkar, Pedro Miraldo, and Srikumar Ramalingam (2020),
Mapping of Sparse 3D Data using Alternating Projection,
Asian Conf. Computer Vision (ACCV), pp:
[doi];

Pedro Roque, Elisa Bin, Pedro Miraldo, and Dimos V. Dimarogonas (2020),
Fast Model Predictive ImageBased Visual Servoing for Quadrotors,
IEEE/RSJ Int'l Conf. Intelligent Robots and Systems (IROS), pp:
[doi];

Andre Mateus, Srikumar Ramalingam, and Pedro Miraldo (2020),
Minimal Solvers for 3D Scan Alignment with Pairs of Intersecting Lines,
IEEE/CVF Conf. Computer Vision and Pattern Recognition (CVPR), pp:
[doi];

G. Dias Pais, Srikumar Ramalingam, Venu Madhav Govindu, Jacinto C. Nascimento, Rama Chellappa, and Pedro Miraldo (2020),
3DRegNet: A Deep Neural Network for 3D Point Registration,
IEEE/CVF Conf. Computer Vision and Pattern Recognition (CVPR), pp:
[arXiv:1904.01701,doi];

Pedro Miraldo and Joao R. Cardoso (2020),
On the Generalized Essential Matrix Correction: An efficient solution to the problem and its applications,
Journal of Mathematical Imaging and Vision (JMIV),
[arXiv:1709.06328,doi];

Rômulo T. Rodrigues, Pedro Miraldo, Dimos V. Dimarogonas, A. Pedro Aguiar (2020),
Active Depth Estimation: Stability Analysis and its Applications,
IEEE Int'l Conf. Robotics and Automation (ICRA),
[arXiv:2003.07137,doi];
2019

P. U. Lima, C. Azevedo, E. Brzozowska, J. Cartucho, T. J. Dias, J. Gonçalves, M. Kinarullathil,
G. Lawless, O. Lima, R. Luz, P. Miraldo, E. Piazza, M. Silva, T. Veiga, and R. Ventura (2019),
SocRob@Home: Integrating AI Components in a Domestic Robot System,
Künstliche Intelligenz (KI), pp. 114
[doi];

R. T. Rodrigues, Pedro Miraldo, D. V. Dimarogonas, A. P. Aguiar (2019),
A Framework for Depth Estimation and Relative Localization of Ground Robots using Computer Vision,
IEEE/RSJ Int'l Conf. Intelligent Robots and Systems (IROS), pp. 37193724
[arXiv:1908.00309,doi];

P. Miraldo, S. Saha, and S. Ramalingam (2019),
Minimal Solvers for MiniLoop Closures in 3D MultiScan Alignment,
IEEE/CVF Conf. Computer Vision and Pattern Recognition (CVPR), pp: 96919700
[arXiv:1904.03941,doi];

A. Mateus, O. Tahri, and P. Miraldo (2019),
Active Estimation of 3D Lines in Spherical Coordinates,
American Control Conference (ACC), pp: 39503955
[arXiv:1902.00473,doi];

G. Pais, T. J. Dias, J. Nascimento, and P. Miraldo (2019),
OmniDRL: Robust Pedestrian Detection using Deep Reinforcement Learning on Omnidirectional Cameras,
IEEE Int'l Conf. Robotics and Automation (ICRA), pp: 47824789
[arXiv:1903.00676,doi];

J. Campos, J. R. Cardoso, and P. Miraldo (2019),
POSEAMM: A Unified Framework for Solving Pose Problems using an Alternating Minimization Method,
IEEE Int'l Conf. Robotics and Automation (ICRA), pp. 34933499
[arXiv:1904.04858,code,doi];

A. Mateus, D. Ribeiro, P. Miraldo, and J. C. Nascimento (2019),
Efficient and Robust Pedestrian Detection using Deep Learning for HumanAware Navigation,
Robotics and Autonomous Systems Journal (RAS), 113:2337,
[arXiv:1607.04441,doi];
2018

P. Miraldo, T. Dias, S. Ramalingam (2018),
A Minimal ClosedForm Solution for MultiPerspective Pose Estimation using Points and Lines,
European Conf. Computer Vision (ECCV), pp: 490507
[arXiv:1807.09970,project,doi];

A. Mateus, O. Tahri, and P. Miraldo (2018),
Active StructurefromMotion for 3D Straight Lines,
IEEE/RSJ Int'l Conf. Intelligent Robots and Systems (IROS), pp: 58195825
[arXiv:1807.00753,doi];

P. Miraldo, F. Eiras, and S. Ramalingam (2018),
Analytical Modeling of Vanishing Points and Curves in Catadioptric Cameras,
IEEE/CVF Conf. Computer Vision and Pattern Recognition (CVPR), pp: 20122021
[arXiv:1804.09460,project,doi];

R. T. Rodrigues, M. Basiri, A. P. Aguiar, and P. Miraldo (2018),
Lowlevel Active Visual Navigation:
Increasing robustness of visionbased localization using potential fields,
IEEE Robotics and Automation Letters (RAL), and IEEE Int'l Conf. Robotics and Automation (ICRA), 3(3):20792086
[arXiv:1801.07249,doi];

X. Liu, Z. Li, K. Zhong, Y. Chao, P. Miraldo, and Y. Shi (2018),
Generic distortion model for metrology under optical microscopes,
Optics and Lasers in Engineering (OLEN) 103:119126
[doi];
2017

L. Iocchi, G. Kraetzschmar, D. Nardi, P. U. Lima, P. Miraldo, E. Bastianelli, and R. Capobianco (2017),
RoCKIn@Home: Domestic Robots Challenge,
RoCKIn  Benchmarking Through Robot Competitions, IntechOpen
[doi];

R. Rodrigues, M. Basiri, A. P. Aguiar, and P. Miraldo (2017),
Feature Based Potential Field for Lowlevel Active Visual Navigation,
Iberian Robotics Conf. (ROBOT), pp: 791800
[arXiv:1709.04687,doi];

D. Ribeiro, A. Mateus, P. Miraldo, and J. C. Nascimento (2017),
A RealTime Pedestrian Detector using Deep Learning for HumanAware Navigation,
IEEE Int'l Conf. on Autonomous Robot Systems and Competitions (ICARSC), pp: 165171
[arXiv:1607.04436,doi];
2016

J. Cardoso, P. Miraldo, and H. Araujo (2016),
Plcker correction problem: Analysis and improvements in efficiency,
IEEE/IAPR Int'l Conf. on Pattern Recognition (ICPR), pp: 27962801
[pdf,doi];

J. Iglsias, P. Miraldo, and R. Ventura (2016),
Towards an Omnidirectional Catadioptric RGBD Camera,
IEEE/RSJ Int'l Conf. Intelligent Robots and Systems (IROS), pp: 25062513
[pdf,doi];
 T. Veiga, P. Miraldo, R. Ventura, and P. Lima (2016),
Efficient Object Search for Mobile Robots in Dynamic Environments:
Semantic Map as an Input for the Decision Maker,
IEEE/RSJ Int'l Conf. Intelligent Robots and Systems (IROS), pp: 27452750
[pdf,doi];
 R. Ventura, M. Basiri, A. Mateus, J. Garcia, P. Miraldo, P. Santos, and P. U. Lima (2016),
A Domestic Assistive Robot Developed Through Robotic Competitions,
WS Autonomous Mobile Service Robots joint with
Int'l Joint Conference on Artificial Intelligence (IJCAI)
[pdf];
 T. Dias, H. Araujo, and P. Miraldo (2016),
3D Reconstruction with LowResolution, High Radial Distortion Stereo Images,
ACM Int'l Conf. on Distributed Smart Cameras (ICDSC), pp: 98103
[pdf,doi];

T. Dias, P. Miraldo, and N. Gonçalves (2016),
Augmented Reality on NonCentral Catadioptric Camera Systems,
Journal of Intelligent & Robotic Systems (JINT), 83(3):359373
[pdf,doi];

X. Liu, Z. Li, P. Miraldo, K. Zhong, and Y. Shi (2016),
A Framework to Calibrate the Scanning Electron Microscope under Variational Magnifications,
IEEE Photonics Technology Letters, 28(16):17151718
[doi];
2015

F. Amigoni, E. Bastianelli, J. Berghofer, A. Bonarini, G. Fontana, N. Hochgeschwender,
L. Iocchi, G. K. Kraetzschmar, P. Lima, M. Matteucci, P. Miraldo, D. Nardi, V. Schiaffonati (2015),
Enabling Replicable Experiments and Benchmarking with RoCKIn Competitions,
IEEE Robotics ans Automation Magazine (RAM), 22(3):5361
[doi];
 A. Mateus, P. Miraldo, P. Lima, and J. Sequeira (2015),
HumanAware Navigation using External Omnidirectional Cameras,
Iberian Robotics Conf. (ROBOT), pp: 283295
[pdf,doi];
 T. Dias, P. Miraldo, N. Gonalves, and P. Lima (2015),
Augmented Reality on Robot Navigation using NonCentral Catadioptric Cameras,
IEEE/RSJ Int'l Conf. Intelligent Robots and Systems (IROS), pp: 49995004
[pdf,doi];

P. Miraldo and H. Araujo (2015),
Pose Estimation for NonCentral Cameras Using Planes,
Journal of Intelligent & Robotic Systems (JINT), 80(3):595608
[pdf,doi]
 T. Dias, P. Miraldo, and N. Gonalves (2015),
A Framework for Augmented Reality using NonCentral Catadioptric Cameras,
IEEE Int'l Conf. on Autonomous Robot Systems and Competitions (ICARSC), pp: 213220
[pdf,doi];

P. Miraldo and H. Araujo (2015),
Generalized Essential Matrix: Properties of the Singular Value Decomposition,
Image and Vision Computing (IVC), 34:4550
[pdf,doi];

P. Miraldo, H. Araujo and N. Gonçalves (2015),
Pose Estimation for General Cameras using Lines,
IEEE Trans. Cybermetic (Systems, Man, and Cybernetics, Part B), 45(10):21562164
[pdf,doi];
2014
 P. Miraldo and H. Araujo (2014),
Direct Solution to the Minimal Generalized Pose,
IEEE Trans. Cybermetic (Systems, Man, and Cybernetics, Part B), 45(3):404415
[pdf,doi];
 P. Miraldo and H. Araujo (2014),
Planar Pose Estimation for General Cameras using Known 3D Lines,
IEEE/RSJ Int'l Conf. Intelligent Robots and Systems (IROS), pp: 42344240
[pdf,doi];
 P. Miraldo and H. Araujo (2014),
Pose Estimation for NonCentral Cameras Using Planes,
IEEE Int'l Conf. on Autonomous Robot Systems and Competitions (ICARSC), pp: 104109
[pdf,doi];
 P. Miraldo and H. Araujo (2014),
A Simple and Robust Solution to the Minimal General Pose Estimation,
IEEE Int'l Conf. Robotics and Automation (ICRA), pp: 21192125
[pdf,doi];
Before 2014

P. Miraldo and H. Araujo (2013),
Calibration of Smooth Camera Models,
IEEE Trans. Pattern Analysis and Machine Intelligence (TPAMI), 35(9):20912103
[pdf,appendix,doi];
 P. Miraldo, H. Araujo, and J. Queiro (2011),
Pointbased Calibration Using a Parametric Representation of General Imaging Models,
IEEE Int'l Conf. Computer Vision (ICCV), pp: 23042311
[pdf,appendix, doi];
 P. Miraldo and H. Araujo (2010)
Improving the Resolution of the Generic Camera Model by Means of a Parametric Representation,
Portuguese Conf. Automatic Control (CONTROLO);
 P. Miraldo and H. Araujo (2008),
Gestures Interpretation Using Computer Vision for HumanMachine Interaction,
Portuguese Conf. Pattern Recognition (RECPAD);
Thesis

P. Miraldo (2013). General Camera Models: Calibration and Pose,
PhD in Electrical Engineering, University of Coimbra [pdf];

P. Miraldo (2008), "Interpretação de Gestos Usando Visão por Computador para Interacção Homem Máquina"
MSc in Electrical and Computer Engineering, University of Coimbra.