Zobrazeno 1 - 10
of 128
pro vyhledávání: '"Fabian Lurz"'
Publikováno v:
IEEE Access, Vol 10, Pp 6775-6797 (2022)
Millimeter-wave sensing using automotive radar imposes high requirements on the applied signal processing in order to obtain the necessary resolution for current imaging radar. High-resolution direction of arrival estimation is needed to achieve the
Externí odkaz:
https://doaj.org/article/88a5cfcc25234626aa70786d3315177c
Publikováno v:
Machine Learning with Applications, Vol 8, Iss , Pp 100275- (2022)
Target localization and classification from radar point clouds is a challenging task due to the inherently sparse nature of the data with highly non-uniform target distribution. This work presents HARadNet, a novel attention based anchor free target
Externí odkaz:
https://doaj.org/article/77f29c9fd77c4b76ac53af8f2e937aa0
Autor:
Kilin Shi, Tobias Steigleder, Sven Schellenberger, Fabian Michler, Anke Malessa, Fabian Lurz, Nicolas Rohleder, Christoph Ostgathe, Robert Weigel, Alexander Koelpin
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
Abstract Contactless measurement of heart rate variability (HRV), which reflects changes of the autonomic nervous system (ANS) and provides crucial information on the health status of a person, would provide great benefits for both patients and docto
Externí odkaz:
https://doaj.org/article/9b34ec364a13450daab3c8fd95e3ccf8
Publikováno v:
IEEE Access, Vol 9, Pp 68758-68777 (2021)
With the recent advancements in radar systems, radar sensors offer a promising and effective perception of the surrounding. This includes target detection, classification and tracking. Compared to the state-of-the-art, where the state vector of class
Externí odkaz:
https://doaj.org/article/f7eddc2cae89411fa5bfe6620cf58c47
Autor:
Benedict Scheiner, Florian Probst, Fabian Michler, Robert Weigel, Alexander Koelpin, Fabian Lurz
Publikováno v:
Sensors, Vol 21, Iss 7, p 2367 (2021)
Due to higher automation and predictive maintenance, it becomes more and more important to acquire as many data as possible during industrial processes. However, many scenarios require remote sensing since either moving parts would result in wear and
Externí odkaz:
https://doaj.org/article/8e8a2b3a37e94917bb600b111e4cf3c0
Autor:
Sven Schellenberger, Kilin Shi, Fabian Michler, Fabian Lurz, Robert Weigel, Alexander Koelpin
Publikováno v:
Sensors, Vol 20, Iss 20, p 5827 (2020)
In hospitals, continuous monitoring of vital parameters can provide valuable information about the course of a patient’s illness and allows early warning of emergencies. To enable such monitoring without restricting the patient’s freedom of movem
Externí odkaz:
https://doaj.org/article/22073e6f6ac64001ac1e4b8acb971ae7
Autor:
Fabian Michler, Kilin Shi, Sven Schellenberger, Tobias Steigleder, Anke Malessa, Laura Hameyer, Nina Neumann, Fabian Lurz, Christoph Ostgathe, Robert Weigel, Alexander Koelpin
Publikováno v:
Sensors, Vol 19, Iss 11, p 2492 (2019)
Vital parameters are key indicators for the assessment of health. Conventional methods rely on direct contact with the patients’ skin and can hence cause discomfort and reduce autonomy. This article presents a bistatic 24 GHz radar system based on
Externí odkaz:
https://doaj.org/article/84f348d152bf49018ca06017e4e771e3
Publikováno v:
Sensors, Vol 18, Iss 6, p 1734 (2018)
Wireless surface acoustic wave (SAW) sensors have some unique features that make them promising for industrial metrology. Their decisive advantage lies in their purely passive operation and the wireless readout capability allowing the installation al
Externí odkaz:
https://doaj.org/article/ac2fbca6111c4930bc67742d225d4402
Publikováno v:
Sensors, Vol 16, Iss 10, p 1556 (2016)
Microwave technology plays a more important role in modern industrial sensing applications. Pushed by the significant progress in monolithic microwave integrated circuit technology over the past decades, complex sensing systems operating in the micro
Externí odkaz:
https://doaj.org/article/1069577c4cb24cffa6bec26ecd0f8622
Publikováno v:
IEEE Microwave Magazine. 24:59-64