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Pose Estimation and Trajectory Derivation from Underwater Imagery
Jacobs university, Bremen.
Linnaeus University, Faculty of Science and Engineering, School of Computer Science, Physics and Mathematics. (ISOVIS)ORCID iD: 0000-0002-8585-3103
Indian Underwater Robotics Society.
2012 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Obtaining underwater imagery is normally a costlyaffair since expensive equipment such as multi-beam sonarscanners need to be utilized. Even though such scanners provideimagery in form of 3D point clouds, the tasks of locatingaccurate and dependable correspondences between point cloudsand registration can be quite slow. Registered 3D point cloudscan provide pose estimation and trajectory information vital tothe navigation of a robot, however, the slow speed of pointcloud registration normally means that maps are generatedoffline for later use. Furthermore, any algorithm must berobust against artifacts in 3D range data as sensor motion,reflection and refraction are commonplace. In our work wedescribe the use of the SIFT feature detector on scaled imagesbased on point clouds captured by sonar in order to registerthem in real-time. This online registration approach is used toderive navigational information vital to underwater vehicles. Thealgorithm utilizes the known point correspondence registrationalgorithm in order to achieve real-time registration of pointclouds, thereby generating 3D maps in real-time and providing3D pose estimation and trajectory information.

Place, publisher, year, edition, pages
IEEE, 2012. p. 1-5
National Category
Computer and Information Sciences Oceanography, Hydrology and Water Resources
Research subject
Computer and Information Sciences Computer Science, Computer Science; Shipping, Maritime Science
Identifiers
URN: urn:nbn:se:lnu:diva-20957DOI: 10.1109/OCEANS-Yeosu.2012.6263625ISBN: 978-1-4577-2089-5 (print)OAI: oai:DiVA.org:lnu-20957DiVA, id: diva2:542519
Conference
MTS/IEEE Conference Oceans '12, 21-24 May, 2012, Yeosu
Available from: 2012-08-01 Created: 2012-08-01 Last updated: 2018-01-12Bibliographically approved

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Cernea, Daniel

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf