A common data fusion framework for space robotics : architecture and data fusion methods
Domínguez, Raùl and Govindaraj, Shashank and Gancet, Jeremi and Post, Mark and Michalec, Romain and Oumer, Nassir and Wehbe, Bilal and Bianco, Alessandro and Fabisch, Alexander and Lacroix, Simon and De Maio, Andrea and Labourey, Quentin and Souvannavong, Fabrice and Bissonnette, Vincent and Smíšek, Michal and Yan, Xiu (2018) A common data fusion framework for space robotics : architecture and data fusion methods. In: International Symposium on Artificial Intelligence, Robotics and Automation in Space Symposia, 2018-06-04 - 2018-06-06.
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Data fusion algorithms make it possible to combine data from different sensors into symbolic representations such as environment maps, object models, and position estimates. The software community in space robotics lacks a comprehensive software framework to fuse and contextually store data from multiple sensors while also making it easier to develop, evaluate, and compare algorithms. The InFuse consortium, six partners in the industrial and academic space sector working under the supervision of a Program Support Activity (PSA) consisting of representatives from ESA, ASI, CDTI, CNES, DLR, UKSA, is developing such a framework, complete with a set of data fusion implementations based on state-of-the-art perception, localization and mapping algorithms, and performance metrics to evaluate them. This paper describes the architecture of this Common Data Fusion Framework and overviews the data fusion methods that it will provide for tasks such as localisation, mapping, environment reconstruction, object detection and tracking.
ORCID iDs
Domínguez, Raùl, Govindaraj, Shashank, Gancet, Jeremi, Post, Mark ORCID: https://orcid.org/0000-0002-1925-7039, Michalec, Romain ORCID: https://orcid.org/0000-0002-2508-1009, Oumer, Nassir, Wehbe, Bilal, Bianco, Alessandro ORCID: https://orcid.org/0000-0003-2273-7823, Fabisch, Alexander, Lacroix, Simon, De Maio, Andrea, Labourey, Quentin, Souvannavong, Fabrice, Bissonnette, Vincent, Smíšek, Michal and Yan, Xiu ORCID: https://orcid.org/0000-0002-3798-7414;-
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Item type: Conference or Workshop Item(Paper) ID code: 64166 Dates: DateEvent4 June 2018Published28 February 2018AcceptedSubjects: Technology > Engineering (General). Civil engineering (General) > Engineering design Department: Faculty of Engineering > Design, Manufacture and Engineering Management Depositing user: Pure Administrator Date deposited: 24 May 2018 16:25 Last modified: 11 Nov 2024 16:54 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/64166