Alejandro Fontán

According to our database, Alejandro Fontán authored at least 14 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

VSLAM-LAB: A Comprehensive Framework for Visual SLAM Methods and Datasets.

Alejandro Fontán, Tobias Fischer, Javier Civera, Michael Milford

CoRR, April, 2025

Image-Based Relocalization and Alignment for Long-Term Monitoring of Dynamic Underwater Environments.

Beverley Gorry, Tobias Fischer, Michael Milford, Alejandro Fontán

CoRR, March, 2025

2024

Forward Prediction of Target Localization Failure Through Pose Estimation Artifact Modelling.

Morgan Windsor, Alejandro Fontán, Peter Pivonka, Michael J. Milford

IEEE Robotics Autom. Lett., May, 2024

Look Ma, No Ground Truth! Ground-Truth-Free Tuning of Structure from Motion and Visual SLAM.

Alejandro Fontán, Javier Civera, Tobias Fischer, Michael Milford

CoRR, 2024

FUSELOC: Fusing Global and Local Descriptors to Disambiguate 2D-3D Matching in Visual Localization.

Son Tung Nguyen, Alejandro Fontán, Michael Milford, Tobias Fischer

CoRR, 2024

FocusTune: Tuning Visual Localization through Focus-Guided Sampling.

Son Tung Nguyen, Alejandro Fontán, Michael Milford, Tobias Fischer

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

AnyFeature-VSLAM: Automating the Usage of Any Feature into Visual SLAM.

Alejandro Fontán, Javier Civera, Michael Milford

Proceedings of the Robotics: Science and Systems XX, 2024

Adaptive Outlier Thresholding for Bundle Adjustment in Visual SLAM.

Alejandro Fontán, Javier Civera, Michael Milford

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

SID-SLAM: Semi-Direct Information-Driven RGB-D SLAM.

Alejandro Fontán, Riccardo Giubilato, Laura Oliva-Maza, Javier Civera, Rudolph Triebel

IEEE Robotics Autom. Lett., October, 2023

Motion-Bias-Free Feature-Based SLAM.

Alejandro Fontán, Michael Milford, Javier Civera

Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022

Model for Multi-View Residual Covariances Based on Perspective Deformation.

Alejandro Fontán, Laura Oliva-Maza, Javier Civera, Rudolph Triebel

IEEE Robotics Autom. Lett., 2022

2021

The MADMAX data set for visual-inertial rover navigation on Mars.

Lukas Meyer, Michal Smísek, Alejandro Fontan Villacampa, Laura Oliva-Maza, Daniel Medina, Martin J. Schuster, Florian Steidle, Mallikarjuna Vayugundla, Marcus Gerhard Müller, Bernhard Rebele, Armin Wedler, Rudolph Triebel

J. Field Robotics, 2021

DOT: Dynamic Object Tracking for Visual SLAM.

Irene Ballester, Alejandro Fontán, Javier Civera, Klaus H. Strobl, Rudolph Triebel

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

Information-Driven Direct RGB-D Odometry.

Alejandro Fontán, Javier Civera, Rudolph Triebel

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020