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Computer Vision Navigation System for an Indoors Unmanned Aerial Vehicle

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Telematics and Computing (WITCOM 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1280))

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Abstract

This paper presents an approach to a navigation system for a UAV that performs indoors tasks. Outdoors UAVs locates itselfs and navigate using GPS that loose effectiveness when physical barriers exist or electrical noise is present. A computer vision system based in artificial markers ArUco is applied in a UAV in a single board computer Jetson nano attached onboard for eliminating communications losses and increase the response time of the system. The markers provide instructions to the aircraft such as turns and displacements and allows pose estimation. Also is presented the model of a cage for UAV tests that is under construction by the time this paper is released.

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Author information

Authors and Affiliations

  1. Centro de Investigación e Innovación Tecnológica CIITEC-IPN, Ciudad de México, México

    R. Roman Ibarra, Moisés V. Márquez & Viridiana Hernández

  2. Centro de Investigación en Ciencia Aplicada y Tecnología Avanzada CICATA-IPN, Ciudad de México, México

    Gerardo Martínez

Authors
  1. R. Roman Ibarra
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  2. Moisés V. Márquez
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  3. Gerardo Martínez
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  4. Viridiana Hernández
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Corresponding author

Correspondence to R. Roman Ibarra .

Editor information

Editors and Affiliations

  1. Instituto Politécnico Nacional, México, Mexico

    Miguel Félix Mata-Rivera

  2. Instituto Politécnico Nacional, México, Mexico

    Roberto Zagal-Flores

  3. Universidad Mayor, Santiago de Chile, Chile

    Cristian Barria-Huidobro

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Ibarra, R.R., Márquez, M.V., Martínez, G., Hernández, V. (2020). Computer Vision Navigation System for an Indoors Unmanned Aerial Vehicle. In: Mata-Rivera, M.F., Zagal-Flores, R., Barria-Huidobro, C. (eds) Telematics and Computing. WITCOM 2020. Communications in Computer and Information Science, vol 1280. Springer, Cham. https://doi.org/10.1007/978-3-030-62554-2_3

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  • DOI: https://doi.org/10.1007/978-3-030-62554-2_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-62553-5

  • Online ISBN: 978-3-030-62554-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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