Sergio Cebollada

Orcid: 0000-0003-4047-3841

According to our database1, Sergio Cebollada authored at least 20 papers between 2017 and 2024.

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

Timeline

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PhD thesis 
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Bibliography

2024
An evaluation of CNN models and data augmentation techniques in hierarchical localization of mobile robots.
Evol. Syst., December, 2024

2023
Environment modeling and localization from datasets of omnidirectional scenes using machine learning techniques.
Neural Comput. Appl., August, 2023

Analysis of Data Augmentation Techniques for Mobile Robots Localization by Means of Convolutional Neural Networks.
Proceedings of the Artificial Intelligence Applications and Innovations, 2023

2022
Training, Optimization and Validation of a CNN for Room Retrieval and Description of Omnidirectional Images.
SN Comput. Sci., 2022

Development and use of a convolutional neural network for hierarchical appearance-based localization.
Artif. Intell. Rev., 2022

2021
A state-of-the-art review on mobile robotics tasks using artificial intelligence and visual data.
Expert Syst. Appl., 2021

Evaluating the Influence of Feature Matching on the Performance of Visual Localization with Fisheye Images.
Proceedings of the 18th International Conference on Informatics in Control, 2021

A Robust CNN Training Approach to Address Hierarchical Localization with Omnidirectional Images.
Proceedings of the 18th International Conference on Informatics in Control, 2021

2020
A Novel Method to Estimate the Position of a Mobile Robot in Underfloor Environments Using RGB-D Point Clouds.
IEEE Access, 2020

Evaluating the Robustness of New Holistic Description Methods in Position Estimation of Mobile Robots.
Proceedings of the Informatics in Control, Automation and Robotics, 2020

An Evaluation of New Global Appearance Descriptor Techniques for Visual Localization in Mobile Robots under Changing Lighting Conditions.
Proceedings of the 17th International Conference on Informatics in Control, 2020

Solution of the Forward Kinematics of Parallel Robots Based on Constraint Curves.
Proceedings of the Informatics in Control, Automation and Robotics, 2020

Solution of the Forward Kinematic Problem of 3UPS-PU Parallel Manipulators based on Constraint Curves.
Proceedings of the 17th International Conference on Informatics in Control, 2020

A Localization Approach Based on Omnidirectional Vision and Deep Learning.
Proceedings of the Informatics in Control, Automation and Robotics, 2020

A Deep Learning Tool to Solve Localization in Mobile Autonomous Robotics.
Proceedings of the 17th International Conference on Informatics in Control, 2020

2019
Hierarchical Localization in Topological Models Under Varying Illumination Using Holistic Visual Descriptors.
IEEE Access, 2019

Active Learning Program Supported by Online Simulation Applet in Engineering Education.
Proceedings of the 9th International Conference on Simulation and Modeling Methodologies, 2019

Performance of New Global Appearance Description Methods in Localization of Mobile Robots.
Proceedings of the Robot 2019: Fourth Iberian Robotics Conference, 2019

An Evaluation between Global Appearance Descriptors based on Analytic Methods and Deep Learning Techniques for Localization in Autonomous Mobile Robots.
Proceedings of the 16th International Conference on Informatics in Control, 2019

2017
Compression of topological models and localization using the global appearance of visual information.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017


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