A Visual Dirt Detection System for Mobile Service Robots
Konferenz: ROBOTIK 2012 - 7th German Conference on Robotics
21.05.2012-22.05.2012 in Munich, Germany
Tagungsband: Robotik 2012
Seiten: 6Sprache: EnglischTyp: PDFPersönliche VDE-Mitglieder erhalten auf diesen Artikel 10% Rabatt
Bormann, Richard; Fischer, Jan; Arbeiter, Georg; Weisshardt, Florian; Verl, Alexander (Fraunhofer Institute for Manufacturing Engineering and Automation IPA, Stuttgart, Germany)
Basic service robot technologies become more and more mature so that applications far beyond fetch and carry tasks will be possible in near future. Using a multifunctional service robot as a cleaning assistant is one interesting and challenging application. To be of any use, cleaning robots have to be able to verify the results of their work or have to find dirt in the beginning for point-wise cleaning. This paper presents an approach towards the detection of various dirt on textured surfaces using a low-cost RGB-D sensor. The algorithm aims at removing the regular part of the image with spectral residual filtering leaving only the dirt and some noise. With further post-processing it is possible to localize many kinds of dirt in the image. The proposed method is fast, reliable, quite robust to illumination changes and does not require any prior training of the surfaces to inspect.