Combining Structure from Motion with visual SLAM for the Katwijk Beach dataset

Open Access
Authors
Publication date 2020
Host editors
  • L. Cao
  • W. Kosters
  • J. Lijffijt
Book title BNAIC/BeNeLearn 2020
Book subtitle proceedings : Leiden, the Netherlands, November 19-20, 2020
Event 32th Benelux Conference on Artificial Intelligence
Pages (from-to) 420-422
Number of pages 3
Publisher Leiden: Universiteit Leiden
Organisations
  • Faculty of Science (FNWI) - Informatics Institute (IVI)
Abstract
On November 26th, 2015 a planetary rover drove across the Katwijk beach.
Man-made rocks were arranged on the beach to imitate a Martian landscape. While driving the rover recorded several datasets. These can be used for the application of different SLAM techniques.

In this study the focus is on a single sensor in the datasets: the stereo camera. Three SLAM techniques are applied to the stereo camera footage, to get a good estimate of the position of the rover and a reliable map. These techniques are: visual SLAM using points clouds, Structure from Motion, and a combination of both techniques. Using the point clouds from visual SLAM and the location estimations from Structure from Motion, this study was able to create a visually more comprehensible map with a more accurate location estimation of the rover. The results indicate that by combining the techniques a better performance on both mapping and localisation can be achieved.
Document type Conference contribution
Note Thesis abstract.
Language English
Published at http://bnaic.liacs.leidenuniv.nl/bnaic2020proceedings.pdf
Downloads
SlamAtTheBeach (Accepted author manuscript)
Combining Structure from Motion (Final published version)
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