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Automatic Monocular 3D-Reconstruction of Indoor Environments Using Mobile Vehicles

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Pattern Recognition (DAGM 2002)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2449))

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Abstract

A new methodology to realise automatic exploration of an indoor environment using single view sequences from a camera mounted on an autonomously moving vehicle is presented. The method includes geometric reconstruction and acquisition of texture information using image rectification. The algorithm of wall edge detection and position determination is given as the heart of the methodology. Navigation planing and self localisation by the moving vehicle are realised whereas obstacles are neglected. Examples for 3D models and accuracy results are presented and discussed.

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Author information

Authors and Affiliations

  1. Dept. of Computer Science, Digital Image Processing Group, Friedrich Schiller University Jena, D-07740, Jena, Germany

    Christian Bräuer-Burchardt

Authors
  1. Christian Bräuer-Burchardt
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Editor information

Editors and Affiliations

  1. Computer Vision Laboratory, ETH Zürich, Gloriastrasse 35, 8092, Zürich, Switzerland

    Luc Van Gool

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© 2002 Springer-Verlag Berlin Heidelberg

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Bräuer-Burchardt, C. (2002). Automatic Monocular 3D-Reconstruction of Indoor Environments Using Mobile Vehicles. In: Van Gool, L. (eds) Pattern Recognition. DAGM 2002. Lecture Notes in Computer Science, vol 2449. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45783-6_45

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  • DOI: https://doi.org/10.1007/3-540-45783-6_45

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44209-7

  • Online ISBN: 978-3-540-45783-1

  • eBook Packages: Springer Book Archive

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