文章基本信息

标题：Common Data Fusion Framework: An open-source Common Data Fusion Framework for space robotics
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作者：This article is part of the following special collection ; Engineering Management ; University of Strathclyde 等
期刊名称：International Journal of Advanced Robotic Systems
印刷版ISSN：1729-8806
电子版ISSN：1729-8814
出版年度：2020
卷号：17
期号：2
页码：1-15
DOI：10.1177/1729881420911767
出版社：SAGE Publications
摘要：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..
关键词：Multisensor data fusion ; robotics software frameworks ; planetary robotics ; orbital robotics