Year: 2017
Type: conference-paper
Abstract: Fused sensory data provides decision-making processes with exploitable information about the external environment and a robot’s internal state. This paper describes some preliminary work on the InFuse project to create a modular and portable data fusion system funded by European Commission’s Horizon 2020 Strategic Research Cluster on Space Robotics Technologies. In space robotics, a wide range of data fusion techniques are required to accomplish challenging objectives for exploration, science and commercial purposes. This includes navigation for planetary and orbital robotics, scientific data gathering, and on-orbit spacecraft servicing applications. InFuse aims to develop a comprehensive open-source data fusion toolset to combine and interpret sensory data from multiple robotic sensors, referred as a Common Data Fusion Framework (CDFF).
Source: elib (German Aerospace Center)
Authors: Govindaraj, Shashank, Gancet, Jérémi, Post, Mark, Dominguez, Raúl, Souvannavong, Fabrice, Lacroix, Simon, Smisek, Michal, Hildalgo-Carrio, Javier, Wehbe, Bilal, Fabisch, Alexander, de Maio, Andrea, Oumer, Nassir, Bissonnette, Vincent, Marton, Zoltan-Csaba, Kottath, Sandeep, Nissler, Christian, Yan, Xiu, Trieble, Rudolph, Nuzzolo, Francesco
Institutions: Space Applications Services (Belgium), University of Strathclyde, German Research Centre for Artificial Intelligence, Magellium (France), Centre National de la Recherche Scientifique, Laboratoire d'Analyse et d'Architecture des Systèmes, Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Funder: European Commission
OpenAlex ID: W2625694822