Common Data Fusion Framework : an open-source common data fusion framework for space robotics
Dominguez, Raul and Post, Mark and Fabisch, Alexander and Michalec, Romain and Bissonnette, Vincent and Govindaraj, Shashank (2020) Common Data Fusion Framework : an open-source common data fusion framework for space robotics. International Journal of Advanced Robotic Systems, 17 (2). pp. 1-15. ISSN 1729-8814 (https://doi.org/10.1177/1729881420911767)
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Abstract
Multisensor data fusion plays a vital role in providing autonomous systems with environmental information crucial for reliable functioning. In this article, we summarize the modular structure of the newly developed and released Common Data Fusion Framework and explain how it is used. Sensor data are registered and fused within the Common Data Fusion Framework to produce comprehensive 3D environment representations and pose estimations. The proposed software components to model this process in a reusable manner are presented through a complete overview of the framework, then the provided data fusion algorithms are listed, and through the case of 3D reconstruction from 2D images, the Common Data Fusion Framework approach is exemplified. The Common Data Fusion Framework has been deployed and tested in various scenarios that include robots performing operations of planetary rover exploration and tracking of orbiting satellites.
ORCID iDs
Dominguez, Raul, Post, Mark, Fabisch, Alexander, Michalec, Romain ORCID: https://orcid.org/0000-0002-2508-1009, Bissonnette, Vincent and Govindaraj, Shashank;-
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Item type: Article ID code: 72322 Dates: DateEvent19 March 2020Published1 February 2020AcceptedSubjects: Science > Mathematics > Electronic computers. Computer science Department: Faculty of Engineering > Electronic and Electrical Engineering
Faculty of Engineering > Design, Manufacture and Engineering ManagementDepositing user: Pure Administrator Date deposited: 07 May 2020 14:20 Last modified: 02 Dec 2024 01:23 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/72322