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Single Image Visual Obstacle Avoidance for Low Power Mobile Sensing

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Advanced Concepts for Intelligent Vision Systems (ACIVS 2015)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9386))

Abstract

In this paper we present a method for low computational complexity single image based obstacle detection and avoidance, with applicability on low power devices and sensors. The method is built on a novel application of single image relative focus map estimation, using localized blind deconvolution, for classifying image regions. For evaluation we use the MSRA datasets and show the method’s practical usability by implementation on smartphones.

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Author information

Authors and Affiliations

  1. Distributed Events Analysis Research Laboratory, MTA SZTAKI - Institute for Computer Science and Control, Hungarian Academy of Sciences, Kende u. 13-17, Budapest, 1111, Hungary

    Levente Kovács

Authors
  1. Levente Kovács
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Correspondence to Levente Kovács .

Editor information

Editors and Affiliations

  1. Dipartimento di Matematica e Informatica, Università di Catania, Catania, Catania, Italy

    Sebastiano Battiato

  2. Arcueil CX, France

    Jacques Blanc-Talon

  3. Catania, Italy

    Giovanni Gallo

  4. Gent, Belgium

    Wilfried Philips

  5. CSIRO, Sydney, New South Wales, Australia

    Dan Popescu

  6. Vision Lab., University of Antwerp, Antwerpen, Belgium

    Paul Scheunders

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© 2015 Springer International Publishing Switzerland

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Kovács, L. (2015). Single Image Visual Obstacle Avoidance for Low Power Mobile Sensing. In: Battiato, S., Blanc-Talon, J., Gallo, G., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2015. Lecture Notes in Computer Science(), vol 9386. Springer, Cham. https://doi.org/10.1007/978-3-319-25903-1_23

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  • DOI: https://doi.org/10.1007/978-3-319-25903-1_23

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-25902-4

  • Online ISBN: 978-3-319-25903-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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