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  4. Mapping Shallow Water Environments using a Semi-Autonomous Multi-Sensor Surface Vehicle
 
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2020
Conference Paper
Titel

Mapping Shallow Water Environments using a Semi-Autonomous Multi-Sensor Surface Vehicle

Abstract
We show a multi-sensor platform for mapping tasks of shallow water areas like rivers or harbors, both under and above the waterline simultaneously. The autonomy of the platform is realized just by integrating the sensors and the autonomy box which provides, i.a., the motion planning. The sensor data is synchronized purely in software by a newly developed timestamping filter. Maps obtained by the autonomously driven platform are shown as an example for the platform capabilities.
Author(s)
Kleiser, Dominik
Albrecht, Alexander
Emter, Thomas
Zube, Angelika
Petereit, Janko
Woock, Philipp
Hauptwerk
Global Oceans 2020. Singapore - U.S. Gulf Coast
Konferenz
Conference "Global OCEANS 2020 - Singapore - U.S. Gulf Coast" 2020
DOI
10.1109/IEEECONF38699.2020.9389482
File(s)
N-635099.pdf (9.75 MB)
Language
English
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Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB
Tags
  • ASV

  • autonomous surface ve...

  • multi-sensorfusion

  • inspection

  • mapping

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