no code implementations • 30 Jul 2021 • Rémy Leroy, Pauline Trouvé-Peloux, Frédéric Champagnat, Bertrand Le Saux, Marcela Carvalho
The 3D information was usually obtained from images by stereo-photogrammetry, but deep learning has recently provided us with excellent results for monocular depth estimation.
1 code implementation • 18 Nov 2019 • Marcela Carvalho, Bertrand Le Saux, Pauline Trouvé-Peloux, Frédéric Champagnat, Andrés Almansa
Aerial or satellite imagery is a great source for land surface analysis, which might yield land use maps or elevation models.
no code implementations • 4 Nov 2019 • Marcela Carvalho, Maxime Ferrera, Alexandre Boulch, Julien Moras, Bertrand Le Saux, Pauline Trouvé-Peloux
This paper is a technical report about our submission for the ECCV 2018 3DRMS Workshop Challenge on Semantic 3D Reconstruction \cite{Tylecek2018rms}.
no code implementations • 31 Oct 2019 • Maxime Ferrera, Vincent Creuze, Julien Moras, Pauline Trouvé-Peloux
The data acquisition is performed using Remotely Operated Vehicles equipped with a monocular monochromatic camera, a low-cost inertial measurement unit, a pressure sensor and a computing unit, all embedded in a single enclosure.
no code implementations • 19 Sep 2018 • Maxime Ferrera, Julien Moras, Pauline Trouvé-Peloux, Vincent Creuze, Denis Dégez
This paper presents a new underwater dataset acquired from a visual-inertial-pressure acquisition system and meant to be used to benchmark visual odometry, visual SLAM and multi-sensors SLAM solutions.
1 code implementation • 5 Sep 2018 • Marcela Carvalho, Bertrand Le Saux, Pauline Trouvé-Peloux, Andrés Almansa, Frédéric Champagnat
We also investigate the influence of blur on depth prediction observing model uncertainty with a Bayesian neural network approach.
no code implementations • 15 Jun 2018 • Maxime Ferrera, Julien Moras, Pauline Trouvé-Peloux, Vincent Creuze
In the context of robotic underwater operations, the visual degradations induced by the medium properties make difficult the exclusive use of cameras for localization purpose.