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20122021
most citedAQUALOC: An Underwater Dataset for Visual-Inertial-Pressure Localization

122 citations · 123 across the 4 of their papers we have counts for

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5 papers · 1 filter

cs.RO2021

Learning-based vs Model-free Adaptive Control of a MAV under Wind Gust

Thomas Chaffre, Julien Moras, Adrien Chan-Hon-Tong +4

Navigation problems under unknown varying conditions are among the most important and well-studied problems in the control field. Classic model-based adaptive control methods can b…

cs.RO2020

Sim-to-Real Transfer with Incremental Environment Complexity for Reinforcement Learning of Depth-Based Robot Navigation

Thomas Chaffre, Julien Moras, Adrien Chan-Hon-Tong +1

Transferring learning-based models to the real world remains one of the hardest problems in model-free control theory. Due to the cost of data collection on a real robot and the li…

cs.RO2018

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…

cs.RO2018

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…

cs.RO2012

Map-aided Fusion Using Evidential Grids for Mobile Perception in Urban Environment

Marek Kurdej, Julien Moras, Véronique Cherfaoui +1

Evidential grids have been recently used for mobile object perception. The novelty of this article is to propose a perception scheme using prior map knowledge. A geographic map is…