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International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems

IPMU 2016: Information Processing and Management of Uncertainty in Knowledge-Based Systems pp 262–273Cite as

Recognition of Confusing Objects for NAO Robot

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 610))

Abstract

Visual processing is one of the most essential tasks in robotics systems. However, it may be affected by many unfavourable factors in the operating environment which lead to imprecisions and uncertainties. Under those circumstances, we propose a multi-camera fusing method applied in a scenario of object recognition for a NAO robot. The cameras capture the same scenes at the same time, then extract feature points from the scene and give their belief about the classes of the detected objects. Dempster’s rule of combination is then used to fuse information from the cameras and provide a better decision. In order to take advantages of heterogeneous sensors fusion, we combine information from 2D and 3D cameras. The results of experiment prove the efficiency of the proposed approach.

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Author information

Authors and Affiliations

  1. LISTIC Laboratory, Polytech Annecy-Chambery, University of Savoie Mont-Blanc, 74940, Annecy-le-vieux, France

    Thanh-Long Nguyen, Didier Coquin & Reda Boukezzoula

Authors
  1. Thanh-Long Nguyen
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  2. Didier Coquin
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  3. Reda Boukezzoula
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Corresponding author

Correspondence to Didier Coquin .

Editor information

Editors and Affiliations

  1. INESC-ID,Instituto Superior Técnico, Universidade de Lisboa, Lisboa, Portugal

    Joao Paulo Carvalho

  2. LIP 6, Université Pierre et Marie Curie, Paris, France

    Marie-Jeanne Lesot

  3. School of Industrial Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands

    Uzay Kaymak

  4. IDMEC,Instituto Superior Técnico, Universidade de Lisboa, Lisboa, Portugal

    Susana Vieira

  5. LIP6, Université Pierre et Marie Curie, CNRS, Paris, France

    Bernadette Bouchon-Meunier

  6. Machine Intelligence Institute, Iona College, New Rochelle, New York, USA

    Ronald R. Yager

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© 2016 Springer International Publishing Switzerland

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Nguyen, TL., Coquin, D., Boukezzoula, R. (2016). Recognition of Confusing Objects for NAO Robot. In: Carvalho, J., Lesot, MJ., Kaymak, U., Vieira, S., Bouchon-Meunier, B., Yager, R. (eds) Information Processing and Management of Uncertainty in Knowledge-Based Systems. IPMU 2016. Communications in Computer and Information Science, vol 610. Springer, Cham. https://doi.org/10.1007/978-3-319-40596-4_23

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  • DOI: https://doi.org/10.1007/978-3-319-40596-4_23

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-40595-7

  • Online ISBN: 978-3-319-40596-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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