Scientific Publications

2019

  • Jäger, R., Diekert; J., Janugade S. and M. Almagboul (2019): "NAVKA Positioning and Geo­­referencing Project PREGON-X for Smartphone based Mobile GIS"

    University of Latvia, 77th International Scientific Conference, Geodynamics and Geo­­spatial Research. Conference Abstracts and Papers, Institute of Geodesy and Geoin­­for­matics (Eds.). ISBN 978-9934-18-404-8. University of Latvia Press. p.21- 24.
  • Jäger, R. (2019): "Multisensorische 3D-Mappingsysteme für BIM – SLAM basierte Navigation und Steuerung, Systemrealisierung MSM und Profil künftiger Entwicklungen"

    Buchbeitrag zur Internationalen Geodätischen Woche 2019, Obergurgl, Österreich. Klaus Hanke / Thomas Weinold (Eds.) ISBN 978-3-87907-659-8. Wichmann-Verlag. S. 286-293.
  • Jäger, R., Mehmetaj, S. und S. Janugade (2019): "Entwicklung einer multisensoririschen Flight Control (FC6) und Systementwicklungen (UAS) für Indoor Monitoring und BIM"

    Buchbeitrag zur Internationalen Geodätischen Woche 2019, Obergurgl, Österreich. Klaus Hanke / Thomas Weinold (Eds.) ISBN 978-3-87907-659-8. Wichmann-Verlag. S. 284-285.
  • Tessema, L.S., Jäger, R. and U. Stilla (2019): Extraction of an IndoorGML Model from an Occupancy Grid Map Constructed Using 2D LiDAR"

    Beiträge 39. Wissenschaftlich-Technische Jahrestagung der DGPF e.V. 20.- 22. Februar 2019, Wien. Publikationen der Deutschen Gesellschaft für Photogrammetrie, Ferner­kun­dung und Geo­information e.V.. Publikationen der Deutschen Gesellschaft für Photogramme­trie, Fern­erkundung und Geoinformation e.V. Band 28. Thomas P. Kerstin (Hrsg.). ISSN 0942-2870. S. 97-110.

2018

  • Jäger, R. (2018): "Multisensornavigation auf Bayes’scher Grundlage – Stand, Anwen­dun­­gen und Entwicklungen"

    In: A. Heck, K. Seitz, T. Grombein, M. Mayer, J.-M. Stöv­­hase, H. Sumaya, M. Wampach, M. Westerhaus, L. Dalheimer, P. Senger (ed.): (Schw)Ehre, wem (Schw)­Ehre gebührt - Festschrift zur Verabschiedung von Prof. Dr.-Ing. Dr. h.c. Bernhard Heck. Schriftenreihe des Studiengangs Geodäsie und Geo­informa­tik, vol. 2018–1, Karlsruhe (KIT Scientific Publishing), DOI:10.5445/KSP/1000080221 (article), DOI: 10.5445/KSP/1000080324 (com­me­­­morative publication). P. 123-130.

2016

  • Jäger, R. (2016): "Nahtlose Out-/Indoornavigation für Personen, Fahrzeuge und Güter - Status Quo und Potenziale"

    Beitrag zum Seminar Geomatik aktuell 2016 - Geodaten in der Cloud? 25. Februar 2016, Karlsruhe, Hochschule Karlsruhe – Tech­nik und Wirtschaft. Karlsruher Geowissenschaftliche Schriften, Reihe B (Ver­mes­sungs­we­sen und Photogrammetrie). Band 9, ISBN 978-3-89063-108-0. S. 35-38.
  • Jäger, R. (2016): "Navigation und Steuerung skalierbarer UAV und bemannter e-Multikopter"

    Forschung Aktuell 2016, Magazin der Hochschule Karlsruhe
  • UAV 2016 - Vermessung mit unbemannten Flugsystemen

    148. DVW Seminar, University Bonn, 18./19. February 2016

    Jäger, R. und Zwiener J. (2016): "Flugdynamik, Multisensor-Navigation und Steuerung skalierbarer Out-/Indoor-Multikopter.", Schriftenreihe des DVW, Band 82, ISBN 978-3-97586-067, Seite 66-75.

  • Geomatik aktuell 2016 - Geodaten in der Cloud?

    Karlsruhe, 25th February 2016, University of Applied Sciences Karlsruhe

    Bürg, B., Dürrschnabel, K., Freckmann, P., Günther-Diringer, D., Jäger, R., Klein, U., Müller, T., Saler, H., Schaab, G. (2016): "Geomatik aktuell 2016, Geodaten in der Cloud?", Geowissenschaftliche Schriften, Reihe B. (Vermessungswesen und Photogrammetrie), Band 9, ISBN 978-3-89063-108-0

2015

2014

2013

  • European World Population Conference Bonn 2013

    Participation and presentation of our contribution

    Jäger, R., A. Lorenz, A. Hoscislawski und S. Wagner (2013): Nahtlose Out- und Indoornavigation für Per­sonentracking und Visualisierung – Innovative Systementwicklungen für Katastrophen- und Rettungsmanagement in Gefahrengebieten und Gebäuden.

2012

Kompetenzatlas Aeronautics Baden-Württemberg

Link and download of the Kompetenzatlas: www.lrbw.de/downloads

New videos

Multisensor Selfreferencing 3D-Mapping System (MSM): System Realization with a Robot

Sensor fusion of GNSS, MEMS and Visual Odometry

 

Our Videos on YouTube:

Seamless Out-Indoor Navigation

The video shows an experimental drive inside and outside of the ETRF89-georeferenced B-building of the Labor for GNSS & Navigation developed seamless out / indoor navigation. After successful testing, the NAVKA algorithms and software were integrated into the NAVKArine-G1MC. They are presently developed for the NAVKArine_G12MC.

 

Flight Control

Flight test of the NAVKA UAV inside buildings.

Flight test of the NAVKA UAV and NAVKA Flight Control in "Hover Mode".

The developments on the hardware, algorithms and software of the NAVKA Flight-Control concern UAV and manned vehicles with free scalability in respect to dimension, propeller-design, sensor-equipment and applications. The video shows the functionality on the NAVKA-UAV, which consists of commercial hardware components.

ZDF-report on e-volo. E-volo’s Volocopter is a revolution in aviation Made in Germany. Safer, simpler, and cleaner than normal helicopters, it has a unique way of moving – a groundbreaking innovation.

Test of the new flight control and navigation-system on a hexacopter. Within the e-volo project the quality of the navigation-system is validated.

Processing of microdrones UAV md4-200 IMU data in a MATLAB Kalman Filter. Sensors: accelerometer, gyroscope, magnetometer, barometer, GPS (u-blox).

 

Indoor-Navigation

Indoor run with a smartphone. The NAVKA algorithms computes the navigation solution with the sensor raw data. The visualisation is done by the software "sphinx" of the company in GmbH.

Indoor run with a smartphone. The NAVKA algorithms computes the navigation solution with the sensor raw data. The visualisation is shown in a MATLAB-application (picture in picture).

Indoor run with a smartphone. The NAVKA algorithms computes the navigation solution with the sensor raw data (tripod). The visualisation is shown in a MATLAB-application.

 

GNSS- and Navigation- algorithms

Sensor fusion of GNSS, MEMS and Visual Odometry

The video shows the mode of operation of the Kalman Height Estimator which was developed within the e-volo/NAVKA project. The used IMU is a teXXmo Robinette.

The Android smartphone raw sensor data is transmitted by the "Wireless IMU" app to a MATLAB Quaternion Kalman Filter via UDP on a WiFi network. The result of the navigation filter is displayed in an OpenGL live preview window.

The Android smartphone raw sensor data is transmitted to a remote computer which runs the NAVKA visualisation software. This software helps users to gain important information.

Presentation of the Robinette GM1 sensor box.

 

General

Overview-Video for the InterGEO 2013 showing the different NAVKA-projects (picture in picture). The ZDF-video (with sound) is embedded in this YouTube-Video, too.