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Proceedings Paper

Robust real time extraction of plane segments from time-of-flight camera images
Author(s): Yosef Dalbah; Dirk Koltermann; Friedrich M. Wahl
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Paper Abstract

We present a method that extracts plane segments from images of a time-of-flight camera. Future driver assistance systems rely on an accurate description of the vehicle’s environment. Time-of-flight cameras can be used for environment perception and for the reconstruction of the environment. Since most structures in urban environments are planar, extracted plane segments from single camera images can be used for the creation of a global map. We present a method for real time detection of planar surface structures from time-of-flight camera data. The concept is based on a planar surface segmentation that serves as the fundament for a subsequent global planar surface extraction. The evaluation demonstrates the ability of the described algorithm to detect planar surfaces form depth data of complex scenarios in real time. We compare our methods to state of the art planar surface extraction algorithms.

Paper Details

Date Published: 16 April 2014
PDF: 7 pages
Proc. SPIE 9159, Sixth International Conference on Digital Image Processing (ICDIP 2014), 91591V (16 April 2014); doi: 10.1117/12.2064527
Show Author Affiliations
Yosef Dalbah, Audi Electronics Venture GmbH (Germany)
Dirk Koltermann, Automotivie Safety Technologies GmbH (Germany)
Friedrich M. Wahl, Technische Univ. Braunschweig (Germany)


Published in SPIE Proceedings Vol. 9159:
Sixth International Conference on Digital Image Processing (ICDIP 2014)
Charles M. Falco; Chin-Chen Chang; Xudong Jiang, Editor(s)

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