Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-10185
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Main Title: Sensor Artificial Intelligence and its Application to Space Systems - A White Paper
Author(s): Börner, Anko
Heinz-Wilhelm, Hübers
Kao, Odej
Schmidt, Florian
Becker, Sören
Denzler, Joachim
Matolin, Daniel
Haber, David
Lucia, Sergio
Samek, Wojciech
Triebel, Rudolph
Eichstädt, Sascha
Biessmann, Felix
Kruspe, Anna
Jung, Peter
Kok, Manon
Gallego, Guillermo
Berger, Ralf
Type: Report
Language Code: en
Abstract: 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.
URI: https://depositonce.tu-berlin.de/handle/11303/11300
http://dx.doi.org/10.14279/depositonce-10185
Issue Date: Jun-2020
Date Available: 15-Jun-2020
DDC Class: 620 Ingenieurwissenschaften und zugeordnete Tätigkeiten
Subject(s): sensor
artificial intelligence
space applications
data
physical models
systems research
License: https://creativecommons.org/licenses/by/4.0/
Notes: A white paper resulting from the 1st Workshop on Sensor AI, April 2020; organized by DLR and the ECDF.
Appears in Collections:FG Komplexe und Verteilte IT-Systeme » Publications
FG Theoretische Grundlagen der Kommunikationstechnik » Publications
FG Robotic Interactive Perception » Publications
FG Internet of Things for Smart Buildings » Publications

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