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Found 8 papers, 3 papers with code
Real-time Monocular Visual Odometry for Turbid and Dynamic Underwater Environments
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.
The Aqualoc Dataset: Towards Real-Time Underwater Localization from a Visual-Inertial-Pressure Acquisition System
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.
AQUALOC: An Underwater Dataset for Visual-Inertial-Pressure Localization
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.
Technical Report: Co-learning of geometry and semantics for online 3D mapping
This paper is a technical report about our submission for the ECCV 2018 3DRMS Workshop Challenge on Semantic 3D Reconstruction \cite{Tylecek2018rms}.
OV$^{2}$SLAM : A Fully Online and Versatile Visual SLAM for Real-Time Applications
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-time capability.
Hyperspectral 3D Mapping of Underwater Environments
Hyperspectral imaging has been increasingly used for underwater survey applications over the past years.
SUCRe: Leveraging Scene Structure for Underwater Color Restoration
Underwater images are altered by the physical characteristics of the medium through which light rays pass before reaching the optical sensor.
Eiffel Tower: A Deep-Sea Underwater Dataset for Long-Term Visual Localization
This paper presents a new deep-sea dataset to benchmark underwater long-term visual localization.
