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Object Recognition for Obstacle Avoidance in Mobile Robots

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Artificial Intelligence and Soft Computing – ICAISC 2006 (ICAISC 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4029))

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Abstract

In this paper is shown an obstacle avoidance strategy based on object recognition using an artificial vision application. Related works focus on the implementation of efficient algorithms for image processing. This work emphasizes in using minimum information from an image in order to generate free obstacles trajectories. The algorithm used is based on Pattern Matching for detection of the robot and Classification for the rest of objects. Each form of detection has its particular algorithm: Cross Correlation for Pattern matching and Nearest Neighbor for Classification. The objective pursued is to demonstrate that, with a very simple system, precise information can be provided to a navigation system in order to find free obstacle paths.

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Author information

Authors and Affiliations

  1. Mechatronics Group, ELE-302, Simon Bolivar University, 1080-A, Sartenejas, Miranda, Venezuela

    José M. Bolanos, Wilfredis Medina Meléndez, Leonardo Fermín, José Cappelletto, Gerardo Fernández-López & Juan C. Grieco

Authors
  1. José M. Bolanos
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  2. Wilfredis Medina Meléndez
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  3. Leonardo Fermín
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  4. José Cappelletto
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  5. Gerardo Fernández-López
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  6. Juan C. Grieco
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Editor information

Editors and Affiliations

  1. Department of Artificial Intelligence, Academy of Humanities and Economics, Poland

    Leszek Rutkowski

  2. Institute of Automatics, AGH University of Science and Technology, Al. Mickiewicza 30, PL-30-059, Kraków, Poland

    Ryszard Tadeusiewicz

  3. Department of Electrical Engineering and Computer Sciences, Berkeley Initiative in Soft Computing (BISC), University of California, 94720-1776, Berkeley, CA, USA

    Lotfi A. Zadeh

  4. Department of Electrical Engineering, University of Louisville, 40292, Louisville, KY, U.S.A

    Jacek M. Żurada

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© 2006 Springer-Verlag Berlin Heidelberg

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Bolanos, J.M., Meléndez, W.M., Fermín, L., Cappelletto, J., Fernández-López, G., Grieco, J.C. (2006). Object Recognition for Obstacle Avoidance in Mobile Robots. In: Rutkowski, L., Tadeusiewicz, R., Zadeh, L.A., Żurada, J.M. (eds) Artificial Intelligence and Soft Computing – ICAISC 2006. ICAISC 2006. Lecture Notes in Computer Science(), vol 4029. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11785231_75

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  • DOI: https://doi.org/10.1007/11785231_75

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-35748-3

  • Online ISBN: 978-3-540-35750-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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