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Entrance Detection of Building Component Based on Multiple Cues

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Advanced Intelligent Computing Theories and Applications (ICIC 2010)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 93))

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Abstract

This paper presents an approach to detect the entrance of building for autonomous navigation robot. Entrance is an important component which connects internal and external environments in building. This paper focuses on the method of entrance detection using multiple cues. The information of entrance characteristics, such as relative height and position on the building are taken into account. To taking hypotheses of entrance, we adopt the probabilistic model for entrance detection by defining the likelihood of various features. Firstly, we detect building’s surfaces. Secondly, we extract the wall region and windows. The remaining area is considered to be the entrance to the candidate. Finally, the entrance is identified by its probabilistic model.

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Author information

Authors and Affiliations

  1. Dept. of New and Renewable Energy Engineering, Kundong University, 760-833, Shindeok-ri 1217, Imha-myeon, Andong, Gyeongbuk, Korea

    Dae-Nyeon Kim

  2. Dept. of Electrical and Electronics Engineering, Hochimin national University, 268 Ly, Thuong Kiet street, Ward 14, District 10, Hochimin city, Vietnam

    Hoang-Hon Trinh

  3. Graduate School of Electrical Engineering, University of Ulsan, Korea, 680 - 749, Daehak-ro 102, Mugeo-dong, Nam-gu, Ulsan, Korea

    Kang-Hyun Jo

Authors
  1. Dae-Nyeon Kim
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  2. Hoang-Hon Trinh
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  3. Kang-Hyun Jo
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Editor information

Editors and Affiliations

  1. Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, Anhui,, China

    De-Shuang Huang

  2. School of Computing and Intelligent Systems, University of Ulster at Magee Campus, BT48 7JL, Derry, Northern Ireland, UK

    Martin McGinnity

  3. Laboratoire LITIS, Université de Rouen, 76800, Saint Etienne du Rouvray, France

    Laurent Heutte

  4. Department of Electrical and Computer Engineering, Ryerson University, Toronto, Ontario, Canada

    Xiao-Ping Zhang

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© 2010 Springer-Verlag Berlin Heidelberg

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Kim, DN., Trinh, HH., Jo, KH. (2010). Entrance Detection of Building Component Based on Multiple Cues. In: Huang, DS., McGinnity, M., Heutte, L., Zhang, XP. (eds) Advanced Intelligent Computing Theories and Applications. ICIC 2010. Communications in Computer and Information Science, vol 93. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14831-6_53

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  • DOI: https://doi.org/10.1007/978-3-642-14831-6_53

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14830-9

  • Online ISBN: 978-3-642-14831-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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