Sensor Artificial Intelligence and its Application to Space Systems -- A White Paper
Anko Börner, Heinz-Wilhelm Hübers, Odej Kao, Florian Schmidt, Sören Becker, Joachim Denzler, Daniel Matolin, David Haber, Sergio Lucia, Wojciech Samek, Rudolph … 展开作者
Anko Börner, Heinz-Wilhelm Hübers, Odej Kao, Florian Schmidt, Sören Becker, Joachim Denzler, Daniel Matolin, David Haber, Sergio Lucia, Wojciech Samek, Rudolph Triebel, Sascha Eichstädt, Felix Biessmann, Anna Kruspe, Peter Jung, Manon Kok, Guillermo Gallego, Ralf Berger
Information and communication technologies have accompanied our everyday life for years. A steadily increasing number of computers, cameras, mobile devices, etc. generate more and more data, but at the same time we realize that the data can only partially be analyzed with classical approaches. The research and development of methods based on artificial intelligence (AI) made enormous progress in the area of interpretability of data in recent years. With growing experience, both, the potential and limitations of these new technologies are increasingly better understood. Typically, AI approaches start with the data from which information and directions for action are derived. However, the circumstances under which such data are collected and how they change over time are rarely considered. A closer look at the sensors and their physical properties within AI approaches will lead to more robust and widely applicable algorithms. This holistic approach which considers entire signal chains from the origin to a data product, "Sensor AI", is a highly relevant topic with great potential. It will play a decisive role in autonomous driving as well as in areas of automated production, predictive maintenance or space research. The goal of this white paper is to establish "Sensor AI" as a dedicated research topic. We want to exchange knowledge on the current state-of-the-art on Sensor AI, to identify synergies among research groups and thus boost the collaboration in this key technology for science and industry.
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University of Kentucky（肯塔基大学）；University of Southern California（南加州大学）；University of Michigan（密歇根大学）；IBM T.J. Watson Research Center（IBM T.J. 沃森研究中心）；UNSW（新南威尔士大学）；Data61/CSIRO（澳大利亚联邦科学与工业研究组织 Data61）；TU Berlin（柏林工业大学）
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University of Wisconsin-Madison（威斯康星大学麦迪逊分校）；International Computer Science Institute（国际计算机科学研究所）；University of Minnesota（明尼苏达大学）；The Ohio State University（俄亥俄州立大学）；Syracuse University（雪城大学）；Human Computation Institute（人类计算研究所）
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University of Oxford（牛津大学）；Cisco Research Centre（思科研究中心）；Cardiff University（卡迪夫大学）；University of Warwick（华威大学）
