no code implementations • 9 Dec 2016 • Maurilio Di Cicco, Ciro Potena, Giorgio Grisetti, Alberto Pretto
We compare the classification results obtained using both real and synthetic images as training data.
no code implementations • 13 Sep 2017 • Bartolomeo Della Corte, Igor Bogoslavskyi, Cyrill Stachniss, Giorgio Grisetti
Our approach exploits the different cues in a natural and consistent way and the registration can be done at framerate for a typical range or imaging sensor.
1 code implementation • 13 Sep 2017 • Dominik Schlegel, Mirco Colosi, Giorgio Grisetti
In this paper we present ProSLAM, a lightweight stereo visual SLAM system designed with simplicity in mind.
Robotics
1 code implementation • 26 Feb 2018 • Dominik Schlegel, Giorgio Grisetti
Reliable and efficient Visual Place Recognition is a major building block of modern SLAM systems.
1 code implementation • 18 Sep 2018 • Dominik Schlegel, Giorgio Grisetti
In this paper we propose an approach to embed continuous and selector cues in binary feature descriptors used for visual place recognition.
1 code implementation • 25 Feb 2020 • Giorgio Grisetti, Tiziano Guadagnino, Irvin Aloise, Mirco Colosi, Bartolomeo Della Corte, Dominik Schlegel
In this work, we propose a unified methodology to design and develop efficient Least-Squares Optimization algorithms, focusing on the structures and patterns of each specific domain.
Robotics
3 code implementations • 2 Mar 2020 • Mirco Colosi, Irvin Aloise, Tiziano Guadagnino, Dominik Schlegel, Bartolomeo Della Corte, Kai O. Arras, Giorgio Grisetti
Nowadays, SLAM (Simultaneous Localization and Mapping) is considered by the Robotics community to be a mature field.
Robotics
no code implementations • 22 Mar 2023 • Gianmarco Roggiolani, Federico Magistri, Tiziano Guadagnino, Jan Weyler, Giorgio Grisetti, Cyrill Stachniss, Jens Behley
Furthermore, the pre-trained networks obtain similar performance to the fully supervised with less labeled data.
1 code implementation • 29 Mar 2023 • Luca Di Giammarino, Emanuele Giacomini, Leonardo Brizi, Omar Salem, Giorgio Grisetti
This paper presents a novel BA photometric strategy that accounts for both RGB-D and LiDAR in the same way.