Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Markus Bullmann"'
Publikováno v:
wt Werkstattstechnik online. 112:727-731
Die manuelle Montage zählt durch mangelnde Schnittstellen zur automatisierten Datenerfassung häufig zu den blinden Flecken für Industrie 4.0 und den dadurch möglichen Potenzialen zur Produktivitätssteigerung. Echtzeitlokalisierung bietet hier ni
Autor:
Toni Fetzer, Markus Bullmann, Markus Ebner, Steffen Kastner, Frank Deinzer, Marcin Grzegorzek
Publikováno v:
Proceedings of the 2023 International Technical Meeting of The Institute of Navigation.
Publikováno v:
Sensors, Vol 20, Iss 22, p 6559 (2020)
With the ubiquity of smartphones, the interest in indoor localization as a research area grew. Methods based on radio data are predominant, but due to the susceptibility of these radio signals to a number of dynamic influences, good localization solu
Externí odkaz:
https://doaj.org/article/925642617a8342b789f2c9420f78dc4f
Publikováno v:
Sensors, Vol 20, Iss 16, p 4515 (2020)
With the addition of the Fine Timing Measurement (FTM) protocol in IEEE 802.11-2016, a promising sensor for smartphone-based indoor positioning systems was introduced. FTM enables a Wi-Fi device to estimate the distance to a second device based on th
Externí odkaz:
https://doaj.org/article/49f0f7e49262439982f7b69c54bec67d
Publikováno v:
Applied Sciences, Vol 10, Iss 9, p 3290 (2020)
The surface inspection of steel parts like rolling elements for roller bearings is an essential component of the quality assurance process in their production. Existing inspection systems require high maintenance cost and allow little flexibility. In
Externí odkaz:
https://doaj.org/article/87dd9204f95349fc8a3fcec86ed542a2
Autor:
Steffen Kastner, Markus Ebner, Markus Bullmann, Toni Fetzer, Frank Deinzer, Marcin Grzegorzek
Publikováno v:
2022 IEEE Sensors.
Autor:
Markus Bullmann, Toni Fetzer, Markus Ebner, Steffen Kastner, Frank Deinzer, Marcin Grzegorzek
Publikováno v:
2022 IEEE 12th International Conference on Indoor Positioning and Indoor Navigation (IPIN).
Autor:
Markus Ebner, Toni Fetzer, Markus Bullmann, Steffen Kastner, Frank Deinzer, Marcin Grzegorzek
Publikováno v:
2022 IEEE 12th International Conference on Indoor Positioning and Indoor Navigation (IPIN).
Publikováno v:
Sensors, Vol 18, Iss 12, p 4095 (2018)
Within this work we present an updated version of our indoor localization system for smartphones. The pedestrian’s position is given by means of recursive state estimation using a particle filter to incorporate different probabilistic sensor models
Externí odkaz:
https://doaj.org/article/fe3cec7464124117b3ca10f258b62c6b
Publikováno v:
Sensors (Basel, Switzerland)
Sensors
Volume 20
Issue 22
Sensors, Vol 20, Iss 6559, p 6559 (2020)
Sensors
Volume 20
Issue 22
Sensors, Vol 20, Iss 6559, p 6559 (2020)
With the ubiquity of smartphones, the interest in indoor localization as a research areagrew. Methods based on radio data are predominant, but due to the susceptibility of these radiosignals to a number of dynamic influences, good localization soluti