Distance measure with computer vision and neural networks for underwater applications

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    3 Scopus citations

    Abstract

    This document describes a distance measurement system for underwater applications with computer vision and an Artificial Neural Network (ANN). The developed system is installed in the observation class remotely operated vehicle (ROV) Visor3, to be used in experimental testing. An integrated camera with two laser pointers are used to obtain input data to a Multi-Layer Perceptron (MLP) ANN, trained with a resilient backpropagation algorithm (RPROP). The solution described in this paper is an alternative to other methods found in the literature. Experimental results are presented.

    Original languageEnglish
    Title of host publication2016 IEEE Colombian Conference on Robotics and Automation, CCRA 2016 - Conference Proceedings
    EditorsHenry Carrillo Lindado
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9781509037872
    DOIs
    StatePublished - 9 Jan 2017
    Event1st IEEE Colombian Conference on Robotics and Automation, CCRA 2016 - Bogota D.C., Colombia
    Duration: 29 Sep 201630 Sep 2016

    Publication series

    Name2016 IEEE Colombian Conference on Robotics and Automation, CCRA 2016 - Conference Proceedings

    Conference

    Conference1st IEEE Colombian Conference on Robotics and Automation, CCRA 2016
    Country/TerritoryColombia
    CityBogota D.C.
    Period29/09/1630/09/16

    Bibliographical note

    Publisher Copyright:
    © 2016 IEEE.

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