Cristiano Premebida

Orcid: 0000-0002-2168-2077

According to our database1, Cristiano Premebida authored at least 68 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Causality from Bottom to Top: A Survey.
CoRR, 2024

2023
Survey on Deep Fuzzy Systems in Regression Applications: A View on Interpretability.
Int. J. Fuzzy Syst., October, 2023

Probabilistic Approach for Road-Users Detection.
IEEE Trans. Intell. Transp. Syst., September, 2023

Improving 3D Vulnerable Road User Detection With Point Augmentation.
IEEE Trans. Intell. Veh., May, 2023

Reducing the False Positive Rate Using Bayesian Inference in Autonomous Driving Perception.
CoRR, 2023

A Theoretical and Practical Framework for Evaluating Uncertainty Calibration in Object Detection.
CoRR, 2023

Multispectral Image Segmentation in Agriculture: A Comprehensive Study on Fusion Approaches.
CoRR, 2023

Approaching Test Time Augmentation in the Context of Uncertainty Calibration for Deep Neural Networks.
CoRR, 2023

ORCHNet: A Robust Global Feature Aggregation approach for 3D LiDAR-based Place recognition in Orchards.
CoRR, 2023

Interaction-aware Maneuver Prediction for Autonomous Vehicles using Interaction Graphs.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

Interaction-Aware Maneuver Intention Prediction Using Gated Mixture-of-Experts Attention Mechanism.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

TReR: A Lightweight Transformer Re-Ranking Approach for 3D LiDAR Place Recognition.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Modelling the Dependence of Chlorophyll Leaf-Clip Measures on Vegetation Indices Derived from Multispectral UAS Images in Vineyards Parcels.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Hybrid LSTM-Fuzzy System to Model a Sulfur Recovery Unit.
Proceedings of the 20th International Conference on Informatics in Control, 2023

ECE-based Deep Ensemble for Neural Network Calibration in Satellite Image Classification.
Proceedings of the IEEE International Conference on Autonomous Robot Systems and Competitions, 2023

Late-Fusion Multimodal Human Detection Based on RGB and Thermal Images for Robotic Perception.
Proceedings of the European Conference on Mobile Robots, 2023

2022
High-order conditional mutual information maximization for dealing with high-order dependencies in feature selection.
Pattern Recognit., 2022

Cross-Border Interoperability for Cooperative, Connected, and Automated Driving.
IEEE Intell. Transp. Syst. Mag., 2022

Multispectral vineyard segmentation: A deep learning comparison study.
Comput. Electron. Agric., 2022

Reducing Overconfidence Predictions in Autonomous Driving Perception.
IEEE Access, 2022

AttDLNet: Attention-Based Deep Network for 3D LiDAR Place Recognition.
Proceedings of the ROBOT 2022: Fifth Iberian Robotics Conference, 2022

Adaptive-TTA: accuracy-consistent weighted test time augmentation method for the uncertainty calibration of deep learning classifiers.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
Probabilistic Approach for Road-Users Detection.
CoRR, 2021

Multispectral Vineyard Segmentation: A Deep Learning approach.
CoRR, 2021

Place recognition survey: An update on deep learning approaches.
CoRR, 2021

AttDLNet: Attention-based DL Network for 3D LiDAR Place Recognition.
CoRR, 2021

Novelty Detection for Iterative Learning of MIMO Fuzzy Systems.
Proceedings of the 19th IEEE International Conference on Industrial Informatics, 2021

Semantic Feature Mining for 3D Object Classification and Segmentation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020
LSTM and GPT-2 Synthetic Speech Transfer Learning for Speaker Recognition to Overcome Data Scarcity.
CoRR, 2020

Probabilistic Object Classification using CNN ML-MAP layers.
CoRR, 2020

Look and Listen: A Multi-modality Late Fusion Approach to Scene Classification for Autonomous Machines.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Multimodal Deep-Learning for Object Recognition Combining Camera and LIDAR Data.
Proceedings of the 2020 IEEE International Conference on Autonomous Robot Systems and Competitions, 2020

CNN-based Human Detection Using a 3D LiDAR onboard a UAV.
Proceedings of the 2020 IEEE International Conference on Autonomous Robot Systems and Competitions, 2020

Overcoming Data Scarcity in Speaker Identification: Dataset Augmentation with Synthetic MFCCs via Character-level RNN.
Proceedings of the 2020 IEEE International Conference on Autonomous Robot Systems and Competitions, 2020

2019
Improving Localization by Learning Pole-Like Landmarks Using a Semi-supervised Approach.
Proceedings of the Robot 2019: Fourth Iberian Robotics Conference, 2019

Test and Evaluation of Connected and Autonomous Vehicles in Real-world Scenarios.
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

Mobile Robot Localization with Reinforcement Learning Map Update Decision aided by an Absolute Indoor Positioning System.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

2018
Multimodal vehicle detection: fusing 3D-LIDAR and color camera data.
Pattern Recognit. Lett., 2018

Cooperative ITS Challenges: AUTOCITS Pilot in Lisbon.
Proceedings of the 87th IEEE Vehicular Technology Conference, 2018

AUTOCITS Pilot in Lisbon - Perspectives, Challenges and Approaches.
Proceedings of the 4th International Conference on Vehicle Technology and Intelligent Transport Systems, 2018

Multimodal CNN Pedestrian Classification: A Study on Combining LIDAR and Camera Data.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

HMAPs - Hybrid Height- Voxel Maps for Environment Representation.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

CNN-LIDAR pedestrian classification: combining range and reflectance data.
Proceedings of the 2018 IEEE International Conference on Vehicular Electronics and Safety, 2018

2017
Dynamic Bayesian network for semantic place classification in mobile robotics.
Auton. Robots, 2017

Real-Time Deep ConvNet-Based Vehicle Detection Using 3D-LIDAR Reflection Intensity Data.
Proceedings of the ROBOT 2017: Third Iberian Robotics Conference, 2017

Short-range gait pattern analysis for potential applications on assistive robotics.
Proceedings of the 26th IEEE International Symposium on Robot and Human Interactive Communication, 2017

Affective facial expressions recognition for human-robot interaction.
Proceedings of the 26th IEEE International Symposium on Robot and Human Interactive Communication, 2017

DepthCN: Vehicle detection using 3D-LIDAR and ConvNet.
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

3D point cloud downsampling for 2D indoor scene modelling in mobile robotics.
Proceedings of the 2017 IEEE International Conference on Autonomous Robot Systems and Competitions, 2017

2016
3D Lidar-based static and moving obstacle detection in driving environments: An approach based on voxels and multi-region ground planes.
Robotics Auton. Syst., 2016

High-resolution LIDAR-based depth mapping using bilateral filter.
Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

2015
Simultaneous Segmentation and Superquadrics Fitting in Laser-Range Data.
IEEE Trans. Veh. Technol., 2015

Probabilistic human daily activity recognition towards robot-assisted living.
Proceedings of the 24th IEEE International Symposium on Robot and Human Interactive Communication, 2015

Polar-Grid Representation and Kriging-Based 2.5D Interpolation for Urban Environment Modelling.
Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015

Applying probabilistic Mixture Models to semantic place classification in mobile robotics.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

2014
A probabilistic approach for human everyday activities recognition using body motion from RGB-D images.
Proceedings of the 23rd IEEE International Symposium on Robot and Human Interactive Communication, 2014

Pedestrian detection combining RGB and dense LIDAR data.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

An RRT-based navigation approach for mobile robots and automated vehicles.
Proceedings of the 12th IEEE International Conference on Industrial Informatics, 2014

2013
Improving the Generalization Capacity of Cascade Classifiers.
IEEE Trans. Cybern., 2013

Fusing LIDAR, camera and semantic information: A context-based approach for pedestrian detection.
Int. J. Robotics Res., 2013

Pedestrian detection in far infrared images.
Integr. Comput. Aided Eng., 2013

2012
Can stereo vision replace a Laser Rangefinder?
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

2011
Evaluation of Boosting-SVM and SRM-SVM cascade classifiers in laser and vision-based pedestrian detection.
Proceedings of the 14th International IEEE Conference on Intelligent Transportation Systems, 2011

2010
A cascade classifier applied in pedestrian detection using laser and image-based features.
Proceedings of the 13th International IEEE Conference on Intelligent Transportation Systems, 2010

2009
LIDAR and vision-based pedestrian detection system.
J. Field Robotics, 2009

Exploiting LIDAR-based features on pedestrian detection in urban scenarios.
Proceedings of the 12th International IEEE Conference on Intelligent Transportation Systems, 2009

2007
A Lidar and Vision-based Approach for Pedestrian and Vehicle Detection and Tracking.
Proceedings of the IEEE Intelligent Transportation Systems Conference, 2007

2006
A Multi-Target Tracking and GMM-Classifier for Intelligent Vehicles.
Proceedings of the IEEE Intelligent Transportation Systems Conference, 2006


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