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    Fast Machine Vision Line Detection for Mobile Robot Navigation in Dark Environments

    Fast Machine Vision Line Detection for Mobile Robot Navigation in Dark Environments


    Abstract Navigation of mobile robots based on video analysis becomes one of the most popular application areas of machine vision in automation and robotics. Recently growing popularity of Unmanned Aerial Vehicles (drones) as well as some other types of autonomous mobile robots leads to rapid increase of their application possibilities e.g. related to exploration of some areas hardly accessible for people, such as caves, underground corridors, bunkers etc. However, such places are specific in view of lighting conditions so many classical image analysis algorithms cannot be applied effectively for navigation of mobile robots in such environments. In order to utilize the image data for robot navigation in such places some modified machine vision algorithms should be applied such as fast line detection based on statistical binarization discussed in this paper.

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    Title :

    Fast Machine Vision Line Detection for Mobile Robot Navigation in Dark Environments

    Contributors:
    Lech, Piotr (author) / Okarma, Krzysztof (author) / Fastowicz, Jarosław (author)
    Published in:

    Image Processing and Communications Challenges 7 ; 1 ; 151-158

    Advances in Intelligent Systems and Computing ; 389 , 1

    Publication date :

    2015-10-15

    Size :

    8 pages

    ISBN :

    978-3-319-23813-5 , 978-3-319-23814-2

    ISSN :

    2194-5357 , 2194-5365

    DOI :

    https://doi.org/10.1007/978-3-319-23814-2_18

    Type of media :

    Article/Chapter (Book)

    Type of material :

    Electronic Resource

    Language :

    English

    Keywords :

    Machine vision , Robot navigation , Edge detection Engineering , Computational Intelligence , Artificial Intelligence (incl. Robotics) , Signal, Image and Speech Processing , Communications Engineering, Networks

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