Items where Author is "Ferreira, JF"

Group by: Item Type | No Grouping

Number of items: 33.

Journal article

MUKHANDI, H., FERREIRA, J.F. and PEIXOTO, P., 2024. SyS3DS: systematic sampling of large-scale LiDAR point clouds for semantic segmentation in forestry robotics. Sensors, 24 (3): 823. ISSN 1424-8220

FALCON-CARO, A., SHIRANI, S., FERREIRA, J.F., BIRD, J.J. and SANEI, S., 2024. Formulation of common spatial patterns for multi-task hyperscanning BCI. IEEE Transactions on Biomedical Engineering. ISSN 0018-9294

CARVALHO, A.E., FERREIRA, J.F. and PORTUGAL, D., 2024. 3D traversability analysis and path planning based on mechanical effort for UGVs in forest environments. Robotics and Autonomous Systems: 104560. ISSN 0921-8890

FERREIRA, J.F., PORTUGAL, D., ANDRADA, M.E., MACHADO, P., ROCHA, R.P. and PEIXOTO, P., 2023. Sensing and artificial perception for robots in precision forestry: a survey. Robotics, 12 (5): 139. ISSN 2218-6581

MACHADO, P., FERREIRA, J.F., OIKONOMOU, A. and MCGINNITY, T.M., 2023. NeuroHSMD: neuromorphic hybrid spiking motion detector. ACM Transactions on Reconfigurable Technology and Systems, 16 (3): 36. ISSN 1936-7406

CRISTÓVÃO, M.P., PORTUGAL, D., CARVALHO, A.E. and FERREIRA, J.F., 2023. A LiDAR-Camera-Inertial-GNSS apparatus for 3D multimodal dataset collection in woodland scenarios. Sensors, 23 (15): 6676. ISSN 1424-8220

MACHADO, P., OIKONOMOU, A., FERREIRA, J.F. and MCGINNITY, T.M., 2021. HSMD: an object motion detection algorithm using a Hybrid Spiking Neural Network Architecture. IEEE Access. ISSN 2169-3536

LOBO, J. and FERREIRA, J.F., 2017. Unconventional computing for Bayesian inference. International Journal of Approximate Reasoning, 88, pp. 306-308. ISSN 0888-613X

LANILLOS, P., FERREIRA, J.F. and DIAS, J., 2017. A Bayesian hierarchy for robust gaze estimation in human–robot interaction. International Journal of Approximate Reasoning, 87, pp. 1-22. ISSN 0888-613X

ALIAKBARPOUR, H., FERREIRA, J.F., PRASATH, V.B.S., PALANIAPPAN, K., SEETHARAMAN, G. and DIAS, J., 2017. A probabilistic fusion framework for 3-D reconstruction using heterogeneous sensors. IEEE Sensors Journal, 17 (9), pp. 2640-2641. ISSN 1530-437X

MARTINS, R., FERREIRA, J.F., CASTELO-BRANCO, M. and DIAS, J., 2017. Integration of touch attention mechanisms to improve the robotic haptic exploration of surfaces. Neurocomputing, 222, pp. 204-216. ISSN 0925-2312

FERREIRA, J.F. and DIAS, J., 2014. Attentional mechanisms for socially interactive robots – a survey. IEEE Transactions on Autonomous Mental Development, 6 (2), pp. 110-125. ISSN 1943-0604

Authored book

FERREIRA, J.F. and DIAS, J.M., 2014. Probabilistic approaches for robotic perception. Springer tracts in advanced robotics, 91 . Cham, Switzerland: Springer International. ISBN 9783319020051

Chapter in book

CARVALHO, A.E., FERREIRA, J.F. and PORTUGAL, D., 2023. 3D traversability analysis in forest environments based on mechanical effort. In: I. PETROVIC, E. MENEGATTI and I. MARKOVIĆ, eds., Intelligent Autonomous Systems 17: proceedings of the 17th International Conference IAS-17. Lecture Notes in Networks and Systems (577). Cham: Springer. ISBN 9783031222153

ANDRADA, M.E., FERREIRA, J.F., PORTUGAL, D. and COUCEIRO, M.S., 2022. Integration of an artificial perception system for identification of live flammable material in forestry robotics. In: Proceedings of the 2022 IEEE/SICE International Symposium on System Integration (SII). Institute of Electrical and Electronics Engineers (IEEE), pp. 103-108. ISBN 9781665445399

MACHADO, P., BONNELL, J., BRANDENBURGH, S., FERREIRA, J.F., PORTUGAL, D. and COUCEIRO, M., 2021. Robotics use case scenarios. In: M. JAHRE, D. GÖHRINGER and P. MILLET, eds., Towards ubiquitous low-power image processing platforms. Cham, Switzerland: Springer, pp. 151-172. ISBN 9783030535315 (Forthcoming)

PORTUGAL, D., FERREIRA, J.F. and COUCEIRO, M.S., 2020. Requirements specification and integration architecture for perception in a cooperative team of forestry robots. In: M. RUSSO, X. DONG and A. MOHAMMAD, eds., Towards Autonomous Robotic Systems: 21st Annual Conference, TAROS 2020, Nottingham, UK, September 16, 2020, Proceedings. Lecture notes in computer science (12228). Cham: Springer, pp. 329-344. ISBN 9783030634858

MARTINS, G.S., FERREIRA, J.F., PORTUGAL, D. and COUCEIRO, M.S., 2019. MoDSeM: towards semantic mapping with distributed robots. In: K. ALTHOEFER, J. KONSTANTINOVA and K. ZHANG, eds., Towards autonomous robotic systems. Proceedings of the 20th Annual Conference, TAROS 2019, London, 3-5 July 2019. Part II. Lecture notes in computer science (11650). Cham: Springer, pp. 131-142. ISBN 9783030253318

FERNANDES, H., ASLAM, M.A., LOBO, J., FERREIRA, J.F. and DIAS, J., 2016. Bayesian inference implemented on FPGA with stochastic bitstreams for an autonomous robot. In: 26th International Conference on Field Programmable Logic and Applications, SwissTech Convention Centre, Lausanne, Switzerland, 29 August - 2 September 2016. Lausanne, Switzerland: École polytechnique fédérale de Lausanne (EPFL), pp. 96-99. ISBN 9781509008513

OLIVEIRA, B., LANILLOS, P. and FERREIRA, J.F., 2016. Gaze tracing in a bounded log-spherical space for artificial attention systems. In: L. REIS, A. MOREIRA, P. LIMA, L. MONTANO and V. MUÑOZ-MARTINEZ, eds., Robot 2015: Second Iberian Robotics Conference. Advances in intelligent systems and computing, 418 . Cham, Switzerland: Springer, pp. 407-419. ISBN 9783319271491

GRADIL, A. and FERREIRA, J.F., 2016. A visualisation and simulation framework for local and remote HRI experimentation. In: M. BESSA and G. GONÇALVES, eds., 2016 23◦ Encontro Português de Computação Grãfica e Interação (EPCGI), Covilhã, Portugal, 24-25 novembro 2016. Piscataway, NJ: Institute of Electrical and Electronics Engineers, pp. 59-66. ISBN 9781509053872

LANILLOS, P., FERREIRA, J.F. and DIAS, J., 2015. Designing an artificial attention system for social robots. In: 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2015), Hamburg, Germany, 28 September - 2 October 2015. Piscataway, NJ: Institute of Electrical and Electronics Engineers, pp. 4171-4178. ISBN 9781479999958

MARTINS, R., FERREIRA, J.F. and DIAS, J., 2014. Touch attention Bayesian models for robotic active haptic exploration of heterogeneous surfaces. In: 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2014), Chicago, Illinois, United States, 14-18 September 2014. Piscataway, NJ: Institute of Electrical and Electronics Engineers, pp. 1208-1215. ISBN 9781479969357

Conference contribution

BITTNER, D., FERREIRA, J.F., ANDRADA, M.E., BIRD, J.J. and PORTUGAL, D., 2022. Generating synthetic multispectral images for semantic segmentation in forestry applications. In: Innovation in Forestry Robotics: Research and Industry Adoption Workshop - IEEE Conference on Robotics and Automation (ICRA 2022), Philadelphia (PA), USA, 23-27 May 2022.

ANDRADA, M.E., FERREIRA, J.F., KANTOR, G., PORTUGAL, D. and ANTUNES, C.H., 2022. Model pruning in depth completion CNNs for forestry robotics with simulated annealing. In: Innovation in Forestry Robotics: Research and Industry Adoption Workshop - IEEE Conference on Robotics and Automation (ICRA 2022), Philadelphia (PA), USA, 23-27 May 2022.

BRANDENBURG, S., MACHADO, P., SHINDE, P., FERREIRA, J.F. and MCGINNITY, T.M., 2019. Object classification for robotic platforms. In: ROBOT 2019: Fourth Iberian Robotics Conference, Porto, Portugal, 20-22 November 2019.

MARTINS, S., FERREIRA, J.F., PORTUGAL, D. and COUCEIRO, M.S., 2019. MoDSeM: modular framework for distributed semantic mapping. 'Embedded intelligence: enabling & supporting RAS technologies'. In: 2nd UK-RAS Robotics and Autonomous Systems Conference, Loughborough, 2019.

ALVES, J.D., FERREIRA, J.F., LOBO, J. and DIAS, J., 2015. Brief survey on computational solutions for Bayesian inference. In: 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2015): Workshop on Unconventional Computing for Bayesian Inference, Hamburg, Germany, 28 September 2015.

FERREIRA, J.F., LANILLOS, P. and DIAS, J., 2015. Fast exact Bayesian inference for high-dimensional models. In: 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2015): Workshop on Unconventional Computing for Bayesian Inference, Hamburg, Germany, 28 September 2015.

LANILLOS, P., FERREIRA, J.F. and DIAS, J., 2015. Multisensory 3D saliency for artficial attention systems. In: 3rd Workshop on Recognition and Action for Scene Understanding (REACTS), Valletta, Malta, 5 September 2015.

LANILLOS, P., FERREIRA, J.F. and DIAS, J., 2014. Evaluating the influence of automatic attentional mechanisms in human-robot interaction. In: 9th ACM/IEEE International Conference on Human-Robot Interaction: HRI: a bridge between Robotics and Neuroscience (Workshop 4), Bielefeld University, Bielefeld, Germany, 3 March 2014.