---
_id: '66648'
abstract:
- lang: ger
  text: "Der Beitrag untersucht Kurzfilme als Kommunikations-, Kompensations- und
    Diskursmedien im Religionsunterricht und entwickelt eine kritische Kurzfilmhermeneutik.
    Ausgangspunkt ist die Beobachtung, dass Kurzfilme im Unterricht häufig inhaltlich
    verengt und primär als Mittel zur Themenvermittlung genutzt werden. Demgegenüber
    betonen die Autor:innen die spezifische Ästhetik, Mehrdeutigkeit und mediale Komplexität
    des Kurzfilms. Zentrale Kategorien sind dabei das Zusammenspiel von „story“ und
    „discourse“ sowie inter-, intra- und transmediale Bezüge. Kurzfilme eröffnen durch
    Verdichtung, Leerstellen und offene Enden eigenständige Zugänge zu Sinnfragen
    und fördern aktive Rezeptionsprozesse. Anhand des Films „YELLOW“ wird gezeigt,
    wie filmische Gestaltungselemente Bedeutung generieren und gesellschaftlich-religiöse
    Diskurse anstoßen. Eine kritische Kurzfilmhermeneutik erweitert somit die Filmdidaktik,
    indem sie das Medium selbst stärker in den Fokus rückt. Ziel ist eine reflektierte,
    medienkompetente und dialogorientierte Nutzung von Kurzfilmen im Religionsunterricht.\r\n"
article_type: original
author:
- first_name: Marion
  full_name: Keuchen, Marion
  id: '251'
  last_name: Keuchen
  orcid: https://orcid.org/0009-0000-9904-6479
- first_name: Juliane
  full_name: Ta Van, Juliane
  last_name: Ta Van
- first_name: Mehmet H
  full_name: Tuna, Mehmet H
  last_name: Tuna
citation:
  ama: Keuchen M, Ta Van J, Tuna MH.  Position, Positionierungen und Positionalität
    im Religionsunterricht im Unterrichten über Religionen, denen man nicht angehört
    Autor/innen. <i>TheoWeb Zeitschrift für Religionspädagogik</i>. 2026;25(1):173-189.
    doi:<a href="https://doi.org/10.58069/theow.2026.1.120">10.58069/theow.2026.1.120</a>
  apa: Keuchen, M., Ta Van, J., &#38; Tuna, M. H. (2026).  Position, Positionierungen
    und Positionalität im Religionsunterricht im Unterrichten über Religionen, denen
    man nicht angehört Autor/innen. <i>TheoWeb. Zeitschrift für Religionspädagogik</i>,
    <i>25</i>(1), 173–189. <a href="https://doi.org/10.58069/theow.2026.1.120">https://doi.org/10.58069/theow.2026.1.120</a>
  bibtex: '@article{Keuchen_Ta Van_Tuna_2026, title={ Position, Positionierungen und
    Positionalität im Religionsunterricht im Unterrichten über Religionen, denen man
    nicht angehört Autor/innen}, volume={25}, DOI={<a href="https://doi.org/10.58069/theow.2026.1.120">10.58069/theow.2026.1.120</a>},
    number={1}, journal={TheoWeb. Zeitschrift für Religionspädagogik}, author={Keuchen,
    Marion and Ta Van, Juliane and Tuna, Mehmet H}, year={2026}, pages={173–189} }'
  chicago: 'Keuchen, Marion, Juliane Ta Van, and Mehmet H Tuna. “ Position, Positionierungen
    und Positionalität im Religionsunterricht im Unterrichten über Religionen, denen
    man nicht angehört Autor/innen.” <i>TheoWeb. Zeitschrift für Religionspädagogik</i>
    25, no. 1 (2026): 173–89. <a href="https://doi.org/10.58069/theow.2026.1.120">https://doi.org/10.58069/theow.2026.1.120</a>.'
  ieee: 'M. Keuchen, J. Ta Van, and M. H. Tuna, “ Position, Positionierungen und Positionalität
    im Religionsunterricht im Unterrichten über Religionen, denen man nicht angehört
    Autor/innen,” <i>TheoWeb. Zeitschrift für Religionspädagogik</i>, vol. 25, no.
    1, pp. 173–189, 2026, doi: <a href="https://doi.org/10.58069/theow.2026.1.120">10.58069/theow.2026.1.120</a>.'
  mla: Keuchen, Marion, et al. “ Position, Positionierungen und Positionalität im
    Religionsunterricht im Unterrichten über Religionen, denen man nicht angehört
    Autor/innen.” <i>TheoWeb. Zeitschrift für Religionspädagogik</i>, vol. 25, no.
    1, 2026, pp. 173–89, doi:<a href="https://doi.org/10.58069/theow.2026.1.120">10.58069/theow.2026.1.120</a>.
  short: M. Keuchen, J. Ta Van, M.H. Tuna, TheoWeb. Zeitschrift für Religionspädagogik
    25 (2026) 173–189.
date_created: 2026-08-04T09:13:35Z
date_updated: 2026-08-04T09:14:18Z
ddc:
- '200'
department:
- _id: '1028'
doi: 10.58069/theow.2026.1.120
file:
- access_level: closed
  content_type: application/pdf
  creator: keuchen
  date_created: 2026-08-04T09:10:36Z
  date_updated: 2026-08-04T09:10:36Z
  file_id: '66649'
  file_name: Positionierung Keuchen_taVan_Tuna.pdf
  file_size: 6075244
  relation: main_file
  success: 1
file_date_updated: 2026-08-04T09:10:36Z
has_accepted_license: '1'
intvolume: '        25'
issue: '1'
keyword:
- interreligiöses Lernen
- Religionsunterricht
- Positionierung
- Islam
- Christentum
- Unterrichtsbeobachtung
- Position
- Fremdheit
language:
- iso: ger
main_file_link:
- open_access: '1'
  url: https://openjournals.fachportal-paedagogik.de/theo-web/article/view/128
oa: '1'
page: 173-189
publication: TheoWeb. Zeitschrift für Religionspädagogik
publication_identifier:
  eissn:
  - 1863-0502
publication_status: published
quality_controlled: '1'
status: public
title: ' Position, Positionierungen und Positionalität im Religionsunterricht im Unterrichten
  über Religionen, denen man nicht angehört Autor/innen'
type: journal_article
user_id: '251'
volume: 25
year: '2026'
...
---
_id: '61887'
abstract:
- lang: eng
  text: Language proficiency is crucial for migrants’ social position in the labour
    market and therefore plays a key role in the (re-)production of social inequalities
    in modern societies. There are different ways of capturing language skills in
    quantitative studies. However, it is important to question the extent to which
    existing language measures mirror migrants’ realities and relevant linguistic
    everyday life practices. In our paper, we contribute to this question by disentangling
    various measures of language proficiency. We use a large sample of migrants in
    Germany (GSOEP) that contains numerous language measures. We conduct detailed
    quantitative analyses on how various language variables influence migrants’ social
    position, by which we mean migrants’ socioeconomic status (as measured by ISEI).
    The ISEI is mainly based on occupation, but also on education and income. Our
    findings indicate that especially the self-assessed German speaking proficiency
    is an important and parsimonious predictor for migrants’ social position in Germany.
author:
- first_name: Isabell
  full_name: Diekmann, Isabell
  id: '119325'
  last_name: Diekmann
- first_name: Joanna Jadwiga
  full_name: Fröhlich, Joanna Jadwiga
  last_name: Fröhlich
citation:
  ama: Diekmann I, Fröhlich JJ. How Can Migrants’ Language Proficiency Be Measured?
    A Discussion of Opportunities and Challenges When Studying the Impact of Language
    Skills on Social Position . <i>Migration Letters</i>. 2020;17(5):695–704. doi:<a
    href="https://doi.org/10.33182/ml.v17i5.803">10.33182/ml.v17i5.803</a>
  apa: Diekmann, I., &#38; Fröhlich, J. J. (2020). How Can Migrants’ Language Proficiency
    Be Measured? A Discussion of Opportunities and Challenges When Studying the Impact
    of Language Skills on Social Position . <i>Migration Letters</i>, <i>17</i>(5),
    695–704. <a href="https://doi.org/10.33182/ml.v17i5.803">https://doi.org/10.33182/ml.v17i5.803</a>
  bibtex: '@article{Diekmann_Fröhlich_2020, title={How Can Migrants’ Language Proficiency
    Be Measured? A Discussion of Opportunities and Challenges When Studying the Impact
    of Language Skills on Social Position }, volume={17}, DOI={<a href="https://doi.org/10.33182/ml.v17i5.803">10.33182/ml.v17i5.803</a>},
    number={5}, journal={Migration Letters}, publisher={Transnational Press London},
    author={Diekmann, Isabell and Fröhlich, Joanna Jadwiga}, year={2020}, pages={695–704}
    }'
  chicago: 'Diekmann, Isabell, and Joanna Jadwiga Fröhlich. “How Can Migrants’ Language
    Proficiency Be Measured? A Discussion of Opportunities and Challenges When Studying
    the Impact of Language Skills on Social Position .” <i>Migration Letters</i> 17,
    no. 5 (2020): 695–704. <a href="https://doi.org/10.33182/ml.v17i5.803">https://doi.org/10.33182/ml.v17i5.803</a>.'
  ieee: 'I. Diekmann and J. J. Fröhlich, “How Can Migrants’ Language Proficiency Be
    Measured? A Discussion of Opportunities and Challenges When Studying the Impact
    of Language Skills on Social Position ,” <i>Migration Letters</i>, vol. 17, no.
    5, pp. 695–704, 2020, doi: <a href="https://doi.org/10.33182/ml.v17i5.803">10.33182/ml.v17i5.803</a>.'
  mla: Diekmann, Isabell, and Joanna Jadwiga Fröhlich. “How Can Migrants’ Language
    Proficiency Be Measured? A Discussion of Opportunities and Challenges When Studying
    the Impact of Language Skills on Social Position .” <i>Migration Letters</i>,
    vol. 17, no. 5, Transnational Press London, 2020, pp. 695–704, doi:<a href="https://doi.org/10.33182/ml.v17i5.803">10.33182/ml.v17i5.803</a>.
  short: I. Diekmann, J.J. Fröhlich, Migration Letters 17 (2020) 695–704.
date_created: 2025-10-21T11:20:58Z
date_updated: 2025-10-21T11:28:11Z
doi: 10.33182/ml.v17i5.803
extern: '1'
intvolume: '        17'
issue: '5'
keyword:
- migration
- social inequalities
- language proficiency
- social position
- language measures
language:
- iso: eng
page: 695–704
publication: Migration Letters
publication_identifier:
  issn:
  - 1741-8992
publisher: Transnational Press London
status: public
title: 'How Can Migrants’ Language Proficiency Be Measured? A Discussion of Opportunities
  and Challenges When Studying the Impact of Language Skills on Social Position '
type: journal_article
user_id: '119325'
volume: 17
year: '2020'
...
---
_id: '11816'
abstract:
- lang: eng
  text: In this paper, we consider the Maximum Likelihood (ML) estimation of the parameters
    of a GAUSSIAN in the presence of censored, i.e., clipped data. We show that the
    resulting Expectation Maximization (EM) algorithm delivers virtually biasfree
    and efficient estimates, and we discuss its convergence properties. We also discuss
    optimal classification in the presence of censored data. Censored data are frequently
    encountered in wireless LAN positioning systems based on the fingerprinting method
    employing signal strength measurements, due to the limited sensitivity of the
    portable devices. Experiments both on simulated and real-world data demonstrate
    the effectiveness of the proposed algorithms.
author:
- first_name: Manh Kha
  full_name: Hoang, Manh Kha
  last_name: Hoang
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
citation:
  ama: 'Hoang MK, Haeb-Umbach R. Parameter estimation and classification of censored
    Gaussian data with application to WiFi indoor positioning. In: <i>38th International
    Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013)</i>. ; 2013:3721-3725.
    doi:<a href="https://doi.org/10.1109/ICASSP.2013.6638353">10.1109/ICASSP.2013.6638353</a>'
  apa: Hoang, M. K., &#38; Haeb-Umbach, R. (2013). Parameter estimation and classification
    of censored Gaussian data with application to WiFi indoor positioning. In <i>38th
    International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013)</i>
    (pp. 3721–3725). <a href="https://doi.org/10.1109/ICASSP.2013.6638353">https://doi.org/10.1109/ICASSP.2013.6638353</a>
  bibtex: '@inproceedings{Hoang_Haeb-Umbach_2013, title={Parameter estimation and
    classification of censored Gaussian data with application to WiFi indoor positioning},
    DOI={<a href="https://doi.org/10.1109/ICASSP.2013.6638353">10.1109/ICASSP.2013.6638353</a>},
    booktitle={38th International Conference on Acoustics, Speech, and Signal Processing
    (ICASSP 2013)}, author={Hoang, Manh Kha and Haeb-Umbach, Reinhold}, year={2013},
    pages={3721–3725} }'
  chicago: Hoang, Manh Kha, and Reinhold Haeb-Umbach. “Parameter Estimation and Classification
    of Censored Gaussian Data with Application to WiFi Indoor Positioning.” In <i>38th
    International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013)</i>,
    3721–25, 2013. <a href="https://doi.org/10.1109/ICASSP.2013.6638353">https://doi.org/10.1109/ICASSP.2013.6638353</a>.
  ieee: M. K. Hoang and R. Haeb-Umbach, “Parameter estimation and classification of
    censored Gaussian data with application to WiFi indoor positioning,” in <i>38th
    International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013)</i>,
    2013, pp. 3721–3725.
  mla: Hoang, Manh Kha, and Reinhold Haeb-Umbach. “Parameter Estimation and Classification
    of Censored Gaussian Data with Application to WiFi Indoor Positioning.” <i>38th
    International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013)</i>,
    2013, pp. 3721–25, doi:<a href="https://doi.org/10.1109/ICASSP.2013.6638353">10.1109/ICASSP.2013.6638353</a>.
  short: 'M.K. Hoang, R. Haeb-Umbach, in: 38th International Conference on Acoustics,
    Speech, and Signal Processing (ICASSP 2013), 2013, pp. 3721–3725.'
date_created: 2019-07-12T05:28:48Z
date_updated: 2022-01-06T06:51:09Z
department:
- _id: '54'
doi: 10.1109/ICASSP.2013.6638353
keyword:
- Gaussian processes
- Global Positioning System
- convergence
- expectation-maximisation algorithm
- fingerprint identification
- indoor radio
- signal classification
- wireless LAN
- EM algorithm
- ML estimation
- WiFi indoor positioning
- censored Gaussian data classification
- clipped data
- convergence properties
- expectation maximization algorithm
- fingerprinting method
- maximum likelihood estimation
- optimal classification
- parameters estimation
- portable devices sensitivity
- signal strength measurements
- wireless LAN positioning systems
- Convergence
- IEEE 802.11 Standards
- Maximum likelihood estimation
- Parameter estimation
- Position measurement
- Training
- Indoor positioning
- censored data
- expectation maximization
- signal strength
- wireless LAN
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://groups.uni-paderborn.de/nt/pubs/2013/HoHa2013.pdf
oa: '1'
page: 3721-3725
publication: 38th International Conference on Acoustics, Speech, and Signal Processing
  (ICASSP 2013)
publication_identifier:
  issn:
  - 1520-6149
related_material:
  link:
  - description: Poster
    relation: supplementary_material
    url: https://groups.uni-paderborn.de/nt/pubs/2013/HoHa2013_Poster.pdf
status: public
title: Parameter estimation and classification of censored Gaussian data with application
  to WiFi indoor positioning
type: conference
user_id: '44006'
year: '2013'
...
---
_id: '11832'
abstract:
- lang: eng
  text: In this paper we propose an approach to retrieve the absolute geometry of
    an acoustic sensor network, consisting of spatially distributed microphone arrays,
    from reverberant speech input. The calibration relies on direction of arrival
    measurements of the individual arrays. The proposed calibration algorithm is derived
    from a maximum-likelihood approach employing circular statistics. Since a sensor
    node consists of a microphone array with known intra-array geometry, we are able
    to obtain an absolute geometry estimate, including angles and distances. Simulation
    results demonstrate the effectiveness of the approach.
author:
- first_name: Florian
  full_name: Jacob, Florian
  last_name: Jacob
- first_name: Joerg
  full_name: Schmalenstroeer, Joerg
  id: '460'
  last_name: Schmalenstroeer
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
citation:
  ama: 'Jacob F, Schmalenstroeer J, Haeb-Umbach R. DoA-Based Microphone Array Position
    Self-Calibration Using Circular Statistic. In: <i>38th International Conference
    on Acoustics, Speech, and Signal Processing (ICASSP 2013)</i>. ; 2013:116-120.
    doi:<a href="https://doi.org/10.1109/ICASSP.2013.6637620">10.1109/ICASSP.2013.6637620</a>'
  apa: Jacob, F., Schmalenstroeer, J., &#38; Haeb-Umbach, R. (2013). DoA-Based Microphone
    Array Position Self-Calibration Using Circular Statistic. <i>38th International
    Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013)</i>, 116–120.
    <a href="https://doi.org/10.1109/ICASSP.2013.6637620">https://doi.org/10.1109/ICASSP.2013.6637620</a>
  bibtex: '@inproceedings{Jacob_Schmalenstroeer_Haeb-Umbach_2013, title={DoA-Based
    Microphone Array Position Self-Calibration Using Circular Statistic}, DOI={<a
    href="https://doi.org/10.1109/ICASSP.2013.6637620">10.1109/ICASSP.2013.6637620</a>},
    booktitle={38th International Conference on Acoustics, Speech, and Signal Processing
    (ICASSP 2013)}, author={Jacob, Florian and Schmalenstroeer, Joerg and Haeb-Umbach,
    Reinhold}, year={2013}, pages={116–120} }'
  chicago: Jacob, Florian, Joerg Schmalenstroeer, and Reinhold Haeb-Umbach. “DoA-Based
    Microphone Array Position Self-Calibration Using Circular Statistic.” In <i>38th
    International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013)</i>,
    116–20, 2013. <a href="https://doi.org/10.1109/ICASSP.2013.6637620">https://doi.org/10.1109/ICASSP.2013.6637620</a>.
  ieee: 'F. Jacob, J. Schmalenstroeer, and R. Haeb-Umbach, “DoA-Based Microphone Array
    Position Self-Calibration Using Circular Statistic,” in <i>38th International
    Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013)</i>, 2013,
    pp. 116–120, doi: <a href="https://doi.org/10.1109/ICASSP.2013.6637620">10.1109/ICASSP.2013.6637620</a>.'
  mla: Jacob, Florian, et al. “DoA-Based Microphone Array Position Self-Calibration
    Using Circular Statistic.” <i>38th International Conference on Acoustics, Speech,
    and Signal Processing (ICASSP 2013)</i>, 2013, pp. 116–20, doi:<a href="https://doi.org/10.1109/ICASSP.2013.6637620">10.1109/ICASSP.2013.6637620</a>.
  short: 'F. Jacob, J. Schmalenstroeer, R. Haeb-Umbach, in: 38th International Conference
    on Acoustics, Speech, and Signal Processing (ICASSP 2013), 2013, pp. 116–120.'
date_created: 2019-07-12T05:29:07Z
date_updated: 2023-10-26T08:11:12Z
department:
- _id: '54'
doi: 10.1109/ICASSP.2013.6637620
keyword:
- Geometry calibration
- microphone arrays
- position self-calibration
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://groups.uni-paderborn.de/nt/pubs/2013/JacSchHae_ICASSP2013_Rev2.pdf
oa: '1'
page: 116-120
publication: 38th International Conference on Acoustics, Speech, and Signal Processing
  (ICASSP 2013)
publication_identifier:
  issn:
  - 1520-6149
quality_controlled: '1'
related_material:
  link:
  - description: Presentation
    relation: supplementary_material
    url: https://groups.uni-paderborn.de/nt/pubs/2013/JaScHa13_Presentation.pdf
status: public
title: DoA-Based Microphone Array Position Self-Calibration Using Circular Statistic
type: conference
user_id: '460'
year: '2013'
...
---
_id: '11818'
abstract:
- lang: eng
  text: In this paper we present a system for indoor navigation based on received
    signal strength index information of Wireless-LAN access points and relative position
    estimates. The relative position information is gathered from inertial smartphone
    sensors using a step detection and an orientation estimate. Our map data is hosted
    on a server employing a map renderer and a SQL database. The database includes
    a complete multilevel office building, within which the user can navigate. During
    navigation, the client retrieves the position estimate from the server, together
    with the corresponding map tiles to visualize the user's position on the smartphone
    display.
author:
- first_name: Manh Kha
  full_name: Hoang, Manh Kha
  last_name: Hoang
- first_name: Sarah
  full_name: Schmitz, Sarah
  last_name: Schmitz
- first_name: Christian
  full_name: Drueke, Christian
  last_name: Drueke
- first_name: Dang Hai Tran
  full_name: Vu, Dang Hai Tran
  last_name: Vu
- first_name: Joerg
  full_name: Schmalenstroeer, Joerg
  id: '460'
  last_name: Schmalenstroeer
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
citation:
  ama: 'Hoang MK, Schmitz S, Drueke C, Vu DHT, Schmalenstroeer J, Haeb-Umbach R. Server
    based indoor navigation using RSSI and inertial sensor information. In: <i>Positioning
    Navigation and Communication (WPNC), 2013 10th Workshop On</i>. ; 2013:1-6. doi:<a
    href="https://doi.org/10.1109/WPNC.2013.6533263">10.1109/WPNC.2013.6533263</a>'
  apa: Hoang, M. K., Schmitz, S., Drueke, C., Vu, D. H. T., Schmalenstroeer, J., &#38;
    Haeb-Umbach, R. (2013). Server based indoor navigation using RSSI and inertial
    sensor information. <i>Positioning Navigation and Communication (WPNC), 2013 10th
    Workshop On</i>, 1–6. <a href="https://doi.org/10.1109/WPNC.2013.6533263">https://doi.org/10.1109/WPNC.2013.6533263</a>
  bibtex: '@inproceedings{Hoang_Schmitz_Drueke_Vu_Schmalenstroeer_Haeb-Umbach_2013,
    title={Server based indoor navigation using RSSI and inertial sensor information},
    DOI={<a href="https://doi.org/10.1109/WPNC.2013.6533263">10.1109/WPNC.2013.6533263</a>},
    booktitle={Positioning Navigation and Communication (WPNC), 2013 10th Workshop
    on}, author={Hoang, Manh Kha and Schmitz, Sarah and Drueke, Christian and Vu,
    Dang Hai Tran and Schmalenstroeer, Joerg and Haeb-Umbach, Reinhold}, year={2013},
    pages={1–6} }'
  chicago: Hoang, Manh Kha, Sarah Schmitz, Christian Drueke, Dang Hai Tran Vu, Joerg
    Schmalenstroeer, and Reinhold Haeb-Umbach. “Server Based Indoor Navigation Using
    RSSI and Inertial Sensor Information.” In <i>Positioning Navigation and Communication
    (WPNC), 2013 10th Workshop On</i>, 1–6, 2013. <a href="https://doi.org/10.1109/WPNC.2013.6533263">https://doi.org/10.1109/WPNC.2013.6533263</a>.
  ieee: 'M. K. Hoang, S. Schmitz, C. Drueke, D. H. T. Vu, J. Schmalenstroeer, and
    R. Haeb-Umbach, “Server based indoor navigation using RSSI and inertial sensor
    information,” in <i>Positioning Navigation and Communication (WPNC), 2013 10th
    Workshop on</i>, 2013, pp. 1–6, doi: <a href="https://doi.org/10.1109/WPNC.2013.6533263">10.1109/WPNC.2013.6533263</a>.'
  mla: Hoang, Manh Kha, et al. “Server Based Indoor Navigation Using RSSI and Inertial
    Sensor Information.” <i>Positioning Navigation and Communication (WPNC), 2013
    10th Workshop On</i>, 2013, pp. 1–6, doi:<a href="https://doi.org/10.1109/WPNC.2013.6533263">10.1109/WPNC.2013.6533263</a>.
  short: 'M.K. Hoang, S. Schmitz, C. Drueke, D.H.T. Vu, J. Schmalenstroeer, R. Haeb-Umbach,
    in: Positioning Navigation and Communication (WPNC), 2013 10th Workshop On, 2013,
    pp. 1–6.'
date_created: 2019-07-12T05:28:51Z
date_updated: 2023-10-26T08:09:36Z
department:
- _id: '54'
doi: 10.1109/WPNC.2013.6533263
keyword:
- SQL
- navigation
- smart phones
- wireless LAN
- RSSI
- SQL database
- complete multilevel office building
- inertial sensor information
- inertial smartphone sensors
- map renderer
- received signal strength index information
- relative position estimates
- server based indoor navigation
- step detection
- wireless-LAN access points
- Smartphone
- fingerprint
- indoor navigation
- map tile
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://groups.uni-paderborn.de/nt/pubs/2013/HoScDrTrScHa2013.pdf
oa: '1'
page: 1-6
publication: Positioning Navigation and Communication (WPNC), 2013 10th Workshop on
quality_controlled: '1'
related_material:
  link:
  - description: Poster
    relation: supplementary_material
    url: https://groups.uni-paderborn.de/nt/pubs/2013/HoScDrTrScHa2013_Poster.pdf
status: public
title: Server based indoor navigation using RSSI and inertial sensor information
type: conference
user_id: '460'
year: '2013'
...
---
_id: '11833'
abstract:
- lang: eng
  text: In this paper we propose an approach to retrieve the geometry of an acoustic
    sensor network consisting of spatially distributed microphone arrays from unconstrained
    speech input. The calibration relies on Direction of Arrival (DoA) measurements
    which do not require a clock synchronization among the sensor nodes. The calibration
    problem is formulated as a cost function optimization task, which minimizes the
    squared differences between measured and predicted observations and additionally
    avoids the existence of minima that correspond to mirrored versions of the actual
    sensor orientations. Further, outlier measurements caused by reverberation are
    mitigated by a Random Sample Consensus (RANSAC) approach. The experimental results
    show a mean positioning error of at most 25 cm even in highly reverberant environments.
author:
- first_name: Florian
  full_name: Jacob, Florian
  last_name: Jacob
- first_name: Joerg
  full_name: Schmalenstroeer, Joerg
  id: '460'
  last_name: Schmalenstroeer
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
citation:
  ama: 'Jacob F, Schmalenstroeer J, Haeb-Umbach R. Microphone Array Position Self-Calibration
    from Reverberant Speech Input. In: <i>International Workshop on Acoustic Signal
    Enhancement (IWAENC 2012)</i>. ; 2012.'
  apa: Jacob, F., Schmalenstroeer, J., &#38; Haeb-Umbach, R. (2012). Microphone Array
    Position Self-Calibration from Reverberant Speech Input. <i>International Workshop
    on Acoustic Signal Enhancement (IWAENC 2012)</i>.
  bibtex: '@inproceedings{Jacob_Schmalenstroeer_Haeb-Umbach_2012, title={Microphone
    Array Position Self-Calibration from Reverberant Speech Input}, booktitle={International
    Workshop on Acoustic Signal Enhancement (IWAENC 2012)}, author={Jacob, Florian
    and Schmalenstroeer, Joerg and Haeb-Umbach, Reinhold}, year={2012} }'
  chicago: Jacob, Florian, Joerg Schmalenstroeer, and Reinhold Haeb-Umbach. “Microphone
    Array Position Self-Calibration from Reverberant Speech Input.” In <i>International
    Workshop on Acoustic Signal Enhancement (IWAENC 2012)</i>, 2012.
  ieee: F. Jacob, J. Schmalenstroeer, and R. Haeb-Umbach, “Microphone Array Position
    Self-Calibration from Reverberant Speech Input,” 2012.
  mla: Jacob, Florian, et al. “Microphone Array Position Self-Calibration from Reverberant
    Speech Input.” <i>International Workshop on Acoustic Signal Enhancement (IWAENC
    2012)</i>, 2012.
  short: 'F. Jacob, J. Schmalenstroeer, R. Haeb-Umbach, in: International Workshop
    on Acoustic Signal Enhancement (IWAENC 2012), 2012.'
date_created: 2019-07-12T05:29:08Z
date_updated: 2023-10-26T08:10:52Z
department:
- _id: '54'
keyword:
- Unsupervised
- geometry calibration
- microphone arrays
- position self-calibration
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://groups.uni-paderborn.de/nt/pubs/2012/JaScHa12.pdf
oa: '1'
publication: International Workshop on Acoustic Signal Enhancement (IWAENC 2012)
quality_controlled: '1'
related_material:
  link:
  - description: Video
    relation: supplementary_material
    url: https://groups.uni-paderborn.de/nt/pubs/2012/Microphine_Array_Position_Self-Calibration_from_Reverberant_Speech_Input.mp4
  - description: Poster
    relation: supplementary_material
    url: https://groups.uni-paderborn.de/nt/pubs/2012/JaScHa12_Poster.pdf
  - description: Demonstrator
    relation: supplementary_material
    url: https://groups.uni-paderborn.de/nt/pubs/2012/JaScHa12_Demonstrator.pdf
status: public
title: Microphone Array Position Self-Calibration from Reverberant Speech Input
type: conference
user_id: '460'
year: '2012'
...
---
_id: '11726'
abstract:
- lang: eng
  text: In this paper we present a robust location estimation algorithm especially
    focused on the accuracy in vertical position. A loosely-coupled error state space
    Kalman filter, which fuses sensor data of an Inertial Measurement Unit and the
    output of a Global Positioning System device, is augmented by height information
    from an altitude measurement unit. This unit consists of a barometric altimeter
    whose output is fused with topographic map information by a Kalman filter to provide
    robust information about the current vertical user position. These data replace
    the less reliable vertical position information provided the GPS device. It is
    shown that typical barometric errors like thermal divergences and fluctuations
    in the pressure due to changing weather conditions can be compensated by the topographic
    map information and the barometric error Kalman filter. The resulting height information
    is shown not only to be more reliable than height information provided by GPS.
    It also turns out that it leads to better attitude and thus better overall localization
    estimation accuracy due to the coupling of spatial orientations via the Direct
    Cosine Matrix. Results are presented both for artificially generated and field
    test data, where the user is moving by car.
author:
- first_name: Maik
  full_name: Bevermeier, Maik
  last_name: Bevermeier
- first_name: Oliver
  full_name: Walter, Oliver
  last_name: Walter
- first_name: Sven
  full_name: Peschke, Sven
  last_name: Peschke
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
citation:
  ama: 'Bevermeier M, Walter O, Peschke S, Haeb-Umbach R. Barometric height estimation
    combined with map-matching in a loosely-coupled Kalman-filter. In: <i>7th Workshop
    on Positioning Navigation and Communication (WPNC 2010)</i>. ; 2010:128-134. doi:<a
    href="https://doi.org/10.1109/WPNC.2010.5650745">10.1109/WPNC.2010.5650745</a>'
  apa: Bevermeier, M., Walter, O., Peschke, S., &#38; Haeb-Umbach, R. (2010). Barometric
    height estimation combined with map-matching in a loosely-coupled Kalman-filter.
    In <i>7th Workshop on Positioning Navigation and Communication (WPNC 2010)</i>
    (pp. 128–134). <a href="https://doi.org/10.1109/WPNC.2010.5650745">https://doi.org/10.1109/WPNC.2010.5650745</a>
  bibtex: '@inproceedings{Bevermeier_Walter_Peschke_Haeb-Umbach_2010, title={Barometric
    height estimation combined with map-matching in a loosely-coupled Kalman-filter},
    DOI={<a href="https://doi.org/10.1109/WPNC.2010.5650745">10.1109/WPNC.2010.5650745</a>},
    booktitle={7th Workshop on Positioning Navigation and Communication (WPNC 2010)},
    author={Bevermeier, Maik and Walter, Oliver and Peschke, Sven and Haeb-Umbach,
    Reinhold}, year={2010}, pages={128–134} }'
  chicago: Bevermeier, Maik, Oliver Walter, Sven Peschke, and Reinhold Haeb-Umbach.
    “Barometric Height Estimation Combined with Map-Matching in a Loosely-Coupled
    Kalman-Filter.” In <i>7th Workshop on Positioning Navigation and Communication
    (WPNC 2010)</i>, 128–34, 2010. <a href="https://doi.org/10.1109/WPNC.2010.5650745">https://doi.org/10.1109/WPNC.2010.5650745</a>.
  ieee: M. Bevermeier, O. Walter, S. Peschke, and R. Haeb-Umbach, “Barometric height
    estimation combined with map-matching in a loosely-coupled Kalman-filter,” in
    <i>7th Workshop on Positioning Navigation and Communication (WPNC 2010)</i>, 2010,
    pp. 128–134.
  mla: Bevermeier, Maik, et al. “Barometric Height Estimation Combined with Map-Matching
    in a Loosely-Coupled Kalman-Filter.” <i>7th Workshop on Positioning Navigation
    and Communication (WPNC 2010)</i>, 2010, pp. 128–34, doi:<a href="https://doi.org/10.1109/WPNC.2010.5650745">10.1109/WPNC.2010.5650745</a>.
  short: 'M. Bevermeier, O. Walter, S. Peschke, R. Haeb-Umbach, in: 7th Workshop on
    Positioning Navigation and Communication (WPNC 2010), 2010, pp. 128–134.'
date_created: 2019-07-12T05:27:04Z
date_updated: 2022-01-06T06:51:07Z
department:
- _id: '54'
doi: 10.1109/WPNC.2010.5650745
keyword:
- altitude measurement unit
- barometers
- barometric altimeter
- barometric error Kalman filter
- barometric height estimation
- direct cosine matrix
- global positioning system
- Global Positioning System
- GPS device
- height information
- height measurement
- inertial measurement unit
- Kalman filters
- loosely-coupled error state space Kalman filter
- loosely-coupled Kalman-filter
- map matching
- robust information
- robust location estimation
- sensor fusion
- topographic map information
- vertical user position
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://groups.uni-paderborn.de/nt/pubs/2010/BeWaPeHa10.pdf
oa: '1'
page: 128-134
publication: 7th Workshop on Positioning Navigation and Communication (WPNC 2010)
status: public
title: Barometric height estimation combined with map-matching in a loosely-coupled
  Kalman-filter
type: conference
user_id: '44006'
year: '2010'
...
