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
Downloads
SlamAtTheBeach (Accepted author manuscript)
Combining Structure from Motion (Final published version)
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