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Extra info for Agents and Artificial Intelligence: Second International Conference, ICAART 2010, Valencia, Spain, January 22-24, 2010. Revised Selected Papers
As mentioned before, we use the robot’s camera image and the laser-based distance signal for the door detection. Out of the camera image we extract vertical lines to find door candidates in the images. For this preselection we assume that each door has a vertical line on the right and left side. As a consequence, a door is not detected, if the door posts are not visible. In the next step we check each candidate for seven door features which represent the weak classifiers: a door can have a certain width WidthClassifier, the color of the door can be different from the color of the wall ColorWallClassifier, a door can have a texture at the bottom or not TextureBottomClassifier, a door may have a door frame FrameClassifier or a door knob KnobClassifier, also a door gap GapClassifier is possible.
243–252. ACM, New York (2007) 8. : SPARQL query language for RDF. W3C working draft 4 (2006) 9. : Dbpedia: A nucleus for a web of open data. , Cudr´e-Mauroux, P. ) ASWC 2007 and ISWC 2007. LNCS, vol. 4825, pp. 722–735. Springer, Heidelberg (2007) 10. : Freebase: a collaboratively created graph database for structuring human knowledge. In: Proceedings of the 2008 ACM SIGMOD International Conference on Management of Data, SIGMOD 2008, pp. 1247–1250. ACM, New York (2008) 11. : Interlinking open data on the web.
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