Navigation mit einem Bodenradar als Lokalisierungssensor

Authors

  • Ilja Stasewitsch Institut für mobile Maschinen und Nutzfahrzeuge, TU Braunschweig
  • Jan Schattenberg Institut für mobile Maschinen und Nutzfahrzeuge, TU Braunschweig
  • Ludger Frerichs Institut für mobile Maschinen und Nutzfahrzeuge, TU Braunschweig

DOI:

https://doi.org/10.2195/lj_proc_stasewitsch_de_202211_01

Keywords:

Bodenradar, Ground Penetrating Radar, Künstlich Neuronale Netze, Lokalisierung, Mobilroboter, Navigation, artificial neural networks, localization, mobile robot

Abstract

Systems for localizing mobile robots have certain disadvantages depending on the measurement principle. For example, systems with cameras reach their limits in harsh environments with dust, dirt and weather. To overcome these problems, a robust localization system is being developed that consists of ground-based radar and Monte Carlo localization. For this purpose, the radar scans long-term stable features in the subsurface that are used for localization. In addition to localization, navigation is also represented.

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Published

2022-11-02

How to Cite

Stasewitsch, I., Schattenberg, J., & Frerichs, L. (2022). Navigation mit einem Bodenradar als Lokalisierungssensor. Logistics Journal: Proceedings, (18). https://doi.org/10.2195/lj_proc_stasewitsch_de_202211_01

Issue

No. 18 (2022): Logistics Journal: Proceedings

Section

Artikel

License

Copyright (c) 2022 Ilja Stasewitsch, Jan Schattenberg, Ludger Frerichs