1 code implementation • 6 Nov 2023 • Son Tung Nguyen, Alejandro Fontan, Michael Milford, Tobias Fischer
We propose FocusTune, a focus-guided sampling technique to improve the performance of visual localization algorithms.
1 code implementation • 13 Sep 2023 • Alejandro Fontan, Javier Civera, Michael Milford
In this paper we show that SLAM commutativity, that is, consistency in trajectory estimates on forward and reverse traverses of the same route, is a significant issue for the state of the art.
no code implementations • 1 Feb 2022 • Alejandro Fontan, Laura Oliva, Javier Civera, Rudolph Triebel
In this work, we derive a model for the covariance of the visual residuals in multi-view SfM, odometry and SLAM setups.
no code implementations • 30 Sep 2020 • Irene Ballester, Alejandro Fontan, Javier Civera, Klaus H. Strobl, Rudolph Triebel
In this paper we present DOT (Dynamic Object Tracking), a front-end that added to existing SLAM systems can significantly improve their robustness and accuracy in highly dynamic environments.
no code implementations • CVPR 2020 • Alejandro Fontan, Javier Civera, Rudolph Triebel
This paper presents an information-theoretic approach to point selection in direct RGB-D odometry.