A Multi-Target Tracking and GMM-Classifier for Intelligent Vehicles. - Cristiano Premebida; Urbano Nunes 001 (ITSC, 2006)

A Lidar and Vision-based Approach for Pedestrian and Vehicle Detection and Tracking. - Cristiano Premebida; Gonçalo Monteiro; Urbano Nunes 001; Paulo Peixoto (ITSC, 2007)

Exploiting LIDAR-based features on pedestrian detection in urban scenarios. - Cristiano Premebida; Oswaldo Ludwig; Urbano Nunes 001 (ITSC, 2009)

LIDAR and vision-based pedestrian detection system. - Cristiano Premebida; Oswaldo Ludwig; Urbano Nunes 001 (J. Field Robotics, 2009)

A cascade classifier applied in pedestrian detection using laser and image-based features. - Cristiano Premebida; Oswaldo Ludwig; Marco Silva 001; Urbano Nunes 001 (ITSC, 2010)

Evaluation of Boosting-SVM and SRM-SVM cascade classifiers in laser and vision-based pedestrian detection. - Oswaldo Ludwig; Cristiano Premebida; Urbano Nunes 001; Rui Araújo (ITSC, 2011)

Can stereo vision replace a Laser Rangefinder? - Michel Antunes; João Pedro Barreto 001; Cristiano Premebida; Urbano Nunes 001 (IROS, 2012)

Pedestrian detection in far infrared images. - Daniel Olmeda; Cristiano Premebida; Urbano Nunes 001; José María Armingol; Arturo de la Escalera (Integr. Comput. Aided Eng., 2013)

Fusing LIDAR, camera and semantic information: A context-based approach for pedestrian detection. - Cristiano Premebida; Urbano Nunes 001 (Int. J. Robotics Res., 2013)

Improving the Generalization Capacity of Cascade Classifiers. - Oswaldo Ludwig; Urbano Nunes 001; Bernardete Ribeiro; Cristiano Premebida (IEEE Trans. Cybern., 2013)

An RRT-based navigation approach for mobile robots and automated vehicles. - Luis Garrote 001; Cristiano Premebida; Marco Silva 001; Urbano Nunes 001 (INDIN, 2014)

Pedestrian detection combining RGB and dense LIDAR data. - Cristiano Premebida; João Carreira 002; Jorge Batista 001; Urbano Nunes 001 (IROS, 2014)

A probabilistic approach for human everyday activities recognition using body motion from RGB-D images. - Diego R. Faria; Cristiano Premebida; Urbano Nunes 001 (RO-MAN, 2014)

Applying probabilistic Mixture Models to semantic place classification in mobile robotics. - Cristiano Premebida; Diego R. Faria; Francisco Alexandre A. Souza; Urbano Nunes 001 (IROS, 2015)

Polar-Grid Representation and Kriging-Based 2.5D Interpolation for Urban Environment Modelling. - Cristiano Premebida; João Sousa; Luis Garrote 001; Urbano Nunes 001 (ITSC, 2015)

Probabilistic human daily activity recognition towards robot-assisted living. - Diego R. Faria; Mario Vieira; Cristiano Premebida; Urbano Nunes 001 (RO-MAN, 2015)

Simultaneous Segmentation and Superquadrics Fitting in Laser-Range Data. - Ricardo Pascoal; Vítor M. F. Santos; Cristiano Premebida; Urbano Nunes 001 (IEEE Trans. Veh. Technol., 2015)

High-resolution LIDAR-based depth mapping using bilateral filter. - Cristiano Premebida; Luis Garrote 001; Alireza Asvadi; A. Pedro Ribeiro; Urbano Nunes 001 (ITSC, 2016)

3D Lidar-based static and moving obstacle detection in driving environments: An approach based on voxels and multi-region ground planes. - Alireza Asvadi; Cristiano Premebida; Paulo Peixoto; Urbano Nunes 001 (Robotics Auton. Syst., 2016)

3D point cloud downsampling for 2D indoor scene modelling in mobile robotics. - Luis Garrote 001; Jose Rosa; João Paulo 002; Cristiano Premebida; Paulo Peixoto; Urbano José C. Nunes (ICARSC, 2017)

DepthCN: Vehicle detection using 3D-LIDAR and ConvNet. - Alireza Asvadi; Luis Garrote 001; Cristiano Premebida; Paulo Peixoto; Urbano Nunes 001 (ITSC, 2017)

Affective facial expressions recognition for human-robot interaction. - Diego R. Faria; Mario Vieira; Fernanda C. C. Faria; Cristiano Premebida (RO-MAN, 2017)

Short-range gait pattern analysis for potential applications on assistive robotics. - João Paulo 002; Luis Garrote 001; Alireza Asvadi; Cristiano Premebida; Paulo Peixoto (RO-MAN, 2017)

Real-Time Deep ConvNet-Based Vehicle Detection Using 3D-LIDAR Reflection Intensity Data. - Alireza Asvadi; Luis Garrote 001; Cristiano Premebida; Paulo Peixoto; Urbano José C. Nunes (ROBOT (2), 2017)

Dynamic Bayesian network for semantic place classification in mobile robotics. - Cristiano Premebida; Diego R. Faria; Urbano Nunes 001 (Auton. Robots, 2017)

CNN-LIDAR pedestrian classification: combining range and reflectance data. - Gledson Melotti; Alireza Asvadi; Cristiano Premebida (ICVES, 2018)

HMAPs - Hybrid Height- Voxel Maps for Environment Representation. - Luis Garrote 001; Cristiano Premebida; David Silva; Urbano José C. Nunes (IROS, 2018)

Multimodal CNN Pedestrian Classification: A Study on Combining LIDAR and Camera Data. - Gledson Melotti; Cristiano Premebida; Nuno Gonçalves 001; Urbano José C. Nunes; Diego R. Faria (ITSC, 2018)

AUTOCITS Pilot in Lisbon - Perspectives, Challenges and Approaches. - Cristiano Premebida; Pedro Serra; Alireza Asvadi; Alberto Valejo; Ricardo Fonseca; Rui Costa; Lara Moura; Conceição Magalhães (VEHITS, 2018)

Cooperative ITS Challenges: AUTOCITS Pilot in Lisbon. - Cristiano Premebida; Pedro Serra; Alireza Asvadi; Alberto Valejo; Lara Moura (VTC Spring, 2018)

Multimodal vehicle detection: fusing 3D-LIDAR and color camera data. - Alireza Asvadi; Luis Garrote 001; Cristiano Premebida; Paulo Peixoto; Urbano José C. Nunes (Pattern Recognit. Lett., 2018)

Mobile Robot Localization with Reinforcement Learning Map Update Decision aided by an Absolute Indoor Positioning System. - Luis Garrote 001; Miguel Torres; Tiago Barros; João Perdiz; Cristiano Premebida; Urbano J. Nunes (IROS, 2019)

Test and Evaluation of Connected and Autonomous Vehicles in Real-world Scenarios. - Joel Pereira; Cristiano Premebida; Alireza Asvadi; F. Cannata; Luis Garrote 001; Urbano José C. Nunes (IV, 2019)

Improving Localization by Learning Pole-Like Landmarks Using a Semi-supervised Approach. - Tiago Barros; Luis Garrote 001; Ricardo Pereira; Cristiano Premebida; Urbano J. Nunes (ROBOT (1), 2019)

Overcoming Data Scarcity in Speaker Identification: Dataset Augmentation with Synthetic MFCCs via Character-level RNN. - Jordan J. Bird; Diego R. Faria; Cristiano Premebida; Anikó Ekárt; Pedro P. S. Ayrosa (ICARSC, 2020)

CNN-based Human Detection Using a 3D LiDAR onboard a UAV. - Jack N. C. Hayton; Tiago Barros; Cristiano Premebida; Matthew Coombes; Urbano J. Nunes (ICARSC, 2020)

Multimodal Deep-Learning for Object Recognition Combining Camera and LIDAR Data. - Gledson Melotti; Cristiano Premebida; Nuno Gonçalves 001 (ICARSC, 2020)

Look and Listen: A Multi-modality Late Fusion Approach to Scene Classification for Autonomous Machines. - Jordan J. Bird; Diego R. Faria; Cristiano Premebida; Anikó Ekárt; George Vogiatzis (IROS, 2020)

Probabilistic Object Classification using CNN ML-MAP layers. - Gledson Melotti; Cristiano Premebida; Jordan J. Bird; Diego R. Faria; Nuno Gonçalves 001 (CoRR, 2020)

LSTM and GPT-2 Synthetic Speech Transfer Learning for Speaker Recognition to Overcome Data Scarcity. - Jordan J. Bird; Diego R. Faria; Anikó Ekárt; Cristiano Premebida; Pedro P. S. Ayrosa (CoRR, 2020)

Semantic Feature Mining for 3D Object Classification and Segmentation. - Weihao Lu 003; Dezong Zhao; Cristiano Premebida; Wen-Hua Chen 001; Daxin Tian (ICRA, 2021)

Novelty Detection for Iterative Learning of MIMO Fuzzy Systems. - Jorge Sampaio Silveira Junior; Jérôme Mendes; Rui Araújo; João Ruivo Paulo; Cristiano Premebida (INDIN, 2021)

AttDLNet: Attention-based DL Network for 3D LiDAR Place Recognition. - Tiago Barros; Luís Garrote 001; Ricardo Pereira; Cristiano Premebida; Urbano J. Nunes (CoRR, 2021)

Place recognition survey: An update on deep learning approaches. - Tiago Barros; Ricardo Pereira; Luís Garrote 001; Cristiano Premebida; Urbano J. Nunes (CoRR, 2021)

Multispectral Vineyard Segmentation: A Deep Learning approach. - Tiago Barros; Pedro Conde; Gil Gonçalves 001; Cristiano Premebida; Miguel Monteiro; Carla Sofia Santos Ferreira; Urbano J. Nunes (CoRR, 2021)

Probabilistic Approach for Road-Users Detection. - Gledson Melotti; W. Lu; Dezong Zhao; Alireza Asvadi; Nuno Gonçalves 001; Cristiano Premebida (CoRR, 2021)

Adaptive-TTA: accuracy-consistent weighted test time augmentation method for the uncertainty calibration of deep learning classifiers. - Pedro Conde; Cristiano Premebida (BMVC, 2022)

AttDLNet: Attention-Based Deep Network for 3D LiDAR Place Recognition. - Tiago Barros; Luís Garrote 001; Ricardo Pereira; Cristiano Premebida; Urbano J. Nunes (ROBOT (1), 2022)

Reducing Overconfidence Predictions in Autonomous Driving Perception. - Gledson Melotti; Cristiano Premebida; Jordan J. Bird; Diego R. Faria; Nuno Gonçalves 001 (IEEE Access, 2022)

Multispectral vineyard segmentation: A deep learning comparison study. - Tiago Barros; Pedro Conde; Gil Gonçalves 001; Cristiano Premebida; Miguel Monteiro; Carla Sofia Santos Ferreira; Urbano J. Nunes (Comput. Electron. Agric., 2022)

Cross-Border Interoperability for Cooperative, Connected, and Automated Driving. - José Eugenio Naranjo; Felipe Jiménez; Rodrigo Castiñeira; Mauro Gil; Cristiano Premebida; Pedro Serra; Alberto Valejo; Fawzi Nashashibi; Conceição Magalhães (IEEE Intell. Transp. Syst. Mag., 2022)

High-order conditional mutual information maximization for dealing with high-order dependencies in feature selection. - Francisco Souza 001; Cristiano Premebida; Rui Araújo (Pattern Recognit., 2022)

Late-Fusion Multimodal Human Detection Based on RGB and Thermal Images for Robotic Perception. - Elísio Sousa; Kennedy O. S. Mota; Iago Pachêco Gomes; Luís Garrote 001; Denis F. Wolf; Cristiano Premebida (ECMR, 2023)

ECE-based Deep Ensemble for Neural Network Calibration in Satellite Image Classification. - Pedro Conde; Tiago Barros; Cristiano Premebida; Urbano J. Nunes (ICARSC, 2023)

Hybrid LSTM-Fuzzy System to Model a Sulfur Recovery Unit. - Jorge Sampaio Silveira Junior; Jérôme Mendes; Francisco Souza 001; Cristiano Premebida (ICINCO (2), 2023)

Modelling the Dependence of Chlorophyll Leaf-Clip Measures on Vegetation Indices Derived from Multispectral UAS Images in Vineyards Parcels. - Gil Gonçalves 001; Umberto Andriolo; Lúcio Paiva; Cristiano Premebida; António Ferraz (IGARSS, 2023)

TReR: A Lightweight Transformer Re-Ranking Approach for 3D LiDAR Place Recognition. - Tiago Barros; Luís Garrote 001; Martin Aleksandrov; Cristiano Premebida; Urbano J. Nunes (ITSC, 2023)

Interaction-Aware Maneuver Intention Prediction Using Gated Mixture-of-Experts Attention Mechanism. - Iago Pachêco Gomes; Cristiano Premebida; Denis Fernando Wolf (ITSC, 2023)

Interaction-aware Maneuver Prediction for Autonomous Vehicles using Interaction Graphs. - Iago Pachêco Gomes; Cristiano Premebida; Denis Fernando Wolf (IV, 2023)

Multispectral Image Segmentation in Agriculture: A Comprehensive Study on Fusion Approaches. - Nuno Cunha; Tiago Barros; Mário Reis; Tiago Marta; Cristiano Premebida; Urbano J. Nunes (ROBOT (2), 2023)

Evaluation of Point Cloud Data Augmentation for 3D-LiDAR Object Detection in Autonomous Driving. - Marta Martins; Iago Pachêco Gomes; Denis Fernando Wolf; Cristiano Premebida (ROBOT (1), 2023)

ORCHNet: A Robust Global Feature Aggregation approach for 3D LiDAR-based Place recognition in Orchards. - Tiago Barros; Luis Garrote 001; Pedro Conde; Matthew Coombes; C. Liu; Cristiano Premebida; Urbano J. Nunes (CoRR, 2023)

Approaching Test Time Augmentation in the Context of Uncertainty Calibration for Deep Neural Networks. - Pedro Conde; Tiago Barros; Rui L. Lopes; Cristiano Premebida; Urbano J. Nunes (CoRR, 2023)

A Theoretical and Practical Framework for Evaluating Uncertainty Calibration in Object Detection. - Pedro Conde; Rui L. Lopes; Cristiano Premebida (CoRR, 2023)

Reducing the False Positive Rate Using Bayesian Inference in Autonomous Driving Perception. - Gledson Melotti; Johann J. S. Bastos; Bruno L. S. da Silva; Tiago Zanotelli; Cristiano Premebida (CoRR, 2023)

Improving 3D Vulnerable Road User Detection With Point Augmentation. - Weihao Lu 003; Dezong Zhao; Cristiano Premebida; Li Zhang 013; Wenjing Zhao; Daxin Tian (IEEE Trans. Intell. Veh., 2023)

Probabilistic Approach for Road-Users Detection. - Gledson Melotti; Weihao Lu 003; Pedro Conde; Dezong Zhao; Alireza Asvadi; Nuno Gonçalves 001; Cristiano Premebida (IEEE Trans. Intell. Transp. Syst., 2023)

Survey on Deep Fuzzy Systems in Regression Applications: A View on Interpretability. - Jorge Sampaio Silveira Junior; Jérôme Mendes; Francisco Souza 001; Cristiano Premebida (Int. J. Fuzzy Syst., 2023)

Multimodal Human Detection using RGB, Thermal and LiDAR modalities for Robotic Perception. - Kennedy O. S. Mota; Luís Garrote 001; Cristiano Premebida (CASE, 2024)

SPVSoAP3D: A Second-order Average Pooling Approach to enhance 3D Place Recognition in Horticultural Environments. - Tiago Barros; Cristiano Premebida; Stéphanie Aravecchia; Cédric Pradalier; Urbano J. Nunes (IROS, 2024)

Multispectral Image Segmentation in Agriculture: Evaluating Deep Learning Models with Train-Test Split and Cross-Validation Strategies. - Wilgo Cardoso; Tiago Barros; Gil Gonçalves 001; Cristiano Premebida; Urbano J. Nunes (ROBOT, 2024)

Impact of 3D LiDAR Resolution in Graph-Based SLAM Approaches: A Comparative Study. - J. Jorge; Tiago Barros; Cristiano Premebida; Martin Aleksandrov; D. Goehring; Urbano J. Nunes (ROBOT, 2024)

Multimodal Human Detection Using YOLO and Representation Learning for Robot Perception. - Kennedy O. S. Mota; Diogo S. De Oliveira; Luís Garrote 001; Cristiano Premebida (ROBOT, 2024)

Causality from Bottom to Top: A Survey. - Abraham Itzhak Weinberg; Cristiano Premebida; Diego Resende Faria (CoRR, 2024)

PointNetPGAP-SLC: A 3D LiDAR-based Place Recognition Approach with Segment-level Consistency Training for Mobile Robots in Horticulture. - Tiago Barros; Luís Garrote 001; Pedro Conde; Matthew Coombes; C. Liu; Cristiano Premebida; Urbano J. Nunes (CoRR, 2024)

Multi-scale Feature Fusion with Point Pyramid for 3D Object Detection. - Weihao Lu 003; Dezong Zhao; Cristiano Premebida; Li Zhang 013; Wenjing Zhao; Daxin Tian (CoRR, 2024)

PointNetPGAP-SLC: A 3D LiDAR-Based Place Recognition Approach With Segment-Level Consistency Training for Mobile Robots in Horticulture. - Tiago Barros; Luís Garrote 001; Pedro Conde; Matthew J. Coombes; Cunjia Liu; Cristiano Premebida; Urbano J. Nunes (IEEE Robotics Autom. Lett., 2024)

Assessing interpretability of data-driven fuzzy models: Application in industrial regression problems. - Jorge Sampaio Silveira Junior; Carlos Gaspar; Jérôme Mendes; Cristiano Premebida (Expert Syst. J. Knowl. Eng., 2024)

A Spatial Dense CRF Framework for Post-processing in Multispectral Image Segmentation. - Wilgo Nunes; Gil Gonçalves 001; Cristiano Premebida (IbPRIA, 2025)

Reliable AI Applied to Perception Systems in Autonomous Vehicles. - Cristiano Premebida (VEHITS, 2025)

PROMORE: A Procedural Modeler of Virtual Rural Environments With Artificial Dataset Generation Capabilities for Remote Sensing Contexts. - Telmo Adão; João Cerqueira; Miguel Adão; Nuno Silva 002; David Pascoal; Luís G. Magalhães; Tiago Barros; Cristiano Premebida; Urbano J. Nunes; Emanuel Peres; Raul Morais (IEEE Access, 2025)

Multi-agent interaction-aware behavior intention prediction using graph mixture of experts attention network on urban roads. - Iago Pachêco Gomes; Cristiano Premebida; Denis Fernando Wolf (Expert Syst. Appl., 2025)

Improving Accuracy and Calibration of Deep Image Classifiers With Agreement-Driven Dynamic Ensemble. - Pedro Conde; Rui L. Lopes; Cristiano Premebida (IEEE Open J. Comput. Soc., 2025)

Distilling Complex Knowledge Into Explainable T-S Fuzzy Systems. - Jorge Sampaio Silveira Junior; Jérôme Mendes; Francisco Souza 001; Cristiano Premebida (IEEE Trans. Fuzzy Syst., 2025)