122 citations · 227 across the 8 of their papers we have counts for
9 papers
From 2D to 3D: AISG-SLA Visual Localization Challenge
Jialin Gao, Bill Ong, Darld Lwi +13
Research in 3D mapping is crucial for smart city applications, yet the cost of acquiring 3D data often hinders progress. Visual localization, particularly monocular camera position…
Eiffel Tower: A Deep-Sea Underwater Dataset for Long-Term Visual Localization
Clémentin Boittiaux, Claire Dune, Maxime Ferrera +5
Visual localization plays an important role in the positioning and navigation of robotics systems within previously visited environments. When visits occur over long periods of tim…
SUCRe: Leveraging Scene Structure for Underwater Color Restoration
Clémentin Boittiaux, Ricard Marxer, Claire Dune +3
Underwater images are altered by the physical characteristics of the medium through which light rays pass before reaching the optical sensor. Scattering and wavelength-dependent ab…
Hyperspectral 3D Mapping of Underwater Environments
Maxime Ferrera, Aurélien Arnaubec, Klemen Istenic +2
Hyperspectral imaging has been increasingly used for underwater survey applications over the past years. As many hyperspectral cameras work as push-broom scanners, their use is usu…
OVSLAM : A Fully Online and Versatile Visual SLAM for Real-Time Applications
Maxime Ferrera, Alexandre Eudes, Julien Moras +2
Many applications of Visual SLAM, such as augmented reality, virtual reality, robotics or autonomous driving, require versatile, robust and precise solutions, most often with real-…
Technical Report: Co-learning of geometry and semantics for online 3D mapping
Marcela Carvalho, Maxime Ferrera, Alexandre Boulch +3
This paper is a technical report about our submission for the ECCV 2018 3DRMS Workshop Challenge on Semantic 3D Reconstruction \cite{Tylecek2018rms}. In this paper, we address 3D s…
AQUALOC: An Underwater Dataset for Visual-Inertial-Pressure Localization
Maxime Ferrera, Vincent Creuze, Julien Moras +1
We present a new dataset, dedicated to the development of simultaneous localization and mapping methods for underwater vehicles navigating close to the seabed. The data sequences c…
The Aqualoc Dataset: Towards Real-Time Underwater Localization from a Visual-Inertial-Pressure Acquisition System
Maxime Ferrera, Julien Moras, Pauline Trouvé-Peloux +2
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-se…
Real-time Monocular Visual Odometry for Turbid and Dynamic Underwater Environments
Maxime Ferrera, Julien Moras, Pauline Trouvé-Peloux +1
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. Henc…