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International Conference of Research Applied to Defense and Security

MICRADS 2020: Developments and Advances in Defense and Security pp 55–64Cite as

Visual-Based Real-Time Detection Using Neural Networks and Micro-UAVs for Military Operations

Part of the Smart Innovation, Systems and Technologies book series (SIST,volume 181)

Abstract

This article presents a vision-based detection system for a micro-UAV, which has been implemented in parallel to an autonomous GPS-based mission. The research seeks to determine a value objective for decision-making within military reconnaissance operations. YOLO-based algorithms have been used in real-time, providing detection of people and vehicles while fulfilling an automated navigation mission. The project was implemented in the CICTE Military Applications Research Center, as part of an automatic takeoff, navigation, detection, and landing system. The detection based on YOLO V3 offers efficient results from the analysis of sensitivity and specificity in the detection in real-time, in external environments during autonomous navigation and while the recognition of the objective is carried out keeping the UAV in stationary mode, with different angles of the camera.

Keywords

  • Object detection
  • Recognition
  • Autonomous navigation
  • Real-time processing

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References

  1. Orbea, D., Moposita, J., Aguilar, W.G., Paredes, M., León, G., Jara-Olmedo, A.: Math model of UAV multi rotor prototype with fixed wing aerodynamic structure for a flight simulator. In: International Conference on Augmented Reality, Virtual Reality and Computer Graphics, pp. 199–211 (2017)

    Google Scholar 

  2. Kleinschmidt, J.: Drones y el orden legal internacional. Tecnología, estrategia y largas cadenas de acción (2015)

    Google Scholar 

  3. Oviedo, J.: Uso de los drones en la seguridad privada (2016)

    Google Scholar 

  4. Aguilar, W.G., Angulo, C.: Real-time model-based video stabilization for microaerial vehicles. Neural Process. Lett. 43(2), 459–477 (2016)

    CrossRef  Google Scholar 

  5. Aguilar, W.G., Salcedo, V.S., Sandoval, D.S., Cobeña, B.: Developing of a video-based model for UAV autonomous navigation. In: Latin American Workshop on Computational Neuroscience, pp. 94–105 (2017)

    Google Scholar 

  6. Aguilar, W.G., Cobeña, B., Rodriguez, G., Salcedo, V.S., Collaguazo, B.: SVM and RGB-D sensor based gesture recognition for UAV control. In: International Conference on Augmented Reality, Virtual Reality and Computer Graphics, pp. 713–719 (2018)

    Google Scholar 

  7. Ritchie, M., Fioranelli, F., Borrion, H., Griffiths, H.: Classification of loaded/unloaded micro-drones using multistatic radar. Electron. Lett. [Internet] 51(22), 1813–1815. Available from https://digital-library.theiet.org/content/journals/10.1049/el.2015.3038 (2015). Cited 2020 Jan 2

  8. Aguilar, W.G., Casaliglla, V.P., Polit, J.L.: Obstacle avoidance based-visual navigation for micro aerial vehicles. Electronics 6(1), 10 (2017)

    CrossRef  Google Scholar 

  9. Vetrella, A.: On GF-2016 I 2nd IF, 2016 undefined. Cooperative UAV navigation under nominal GPS coverage and in GPS-challenging environments. ieeexplore.ieee.org [Internet]. Available from https://ieeexplore.ieee.org/abstract/document/7740606/. Cited 2020 Jan 5

  10. Aguilar, W.G., Morales, S.G.: 3D environment mapping using the Kinect V2 and path planning based on RRT algorithms. Electronics 5(4), 70 (2016)

    CrossRef  Google Scholar 

  11. Campanelli, H.: La utilización conjunta de los Sistemas Aéreos no Tripulados en el Teatro de Operaciones [Internet]. Available from http://190.12.101.91:80/jspui/handle/1847939/138 (2014). Cited 2019 Dec 21

  12. Ortuño, N., María, J., Cuquerella, J.L.: Desarrollo de un sistema de control para UAV con capacidad ATOL entre lanchas de instrucción de la Escuela Naval Militar. Available from http://calderon.cud.uvigo.es/handle/123456789/124 (2016). Cited 2019 Dec 21

  13. Riola, J.M., Rodríguez, M.: Tecnologías del Siglo XXI TECHNOLOGIES OF THE XXI CENTURY, vol. 4 (2018)

    Google Scholar 

  14. Baquero Montoya, P., Briones, R.V.: EMPLEO DE LOS UAV, EN OPERACIONES DE SEGURIDAD Y VIGILANCIA EN LAS ÁREAS ESTRATÉGICAS EN EL ECUADOR, vol. IV [Internet]. Available from www.altiuas.com (2019). Cited 2019 Dec 22

  15. Aguilar, W.G., Luna, M.A., Ruiz, H., Moya, J.F., Luna, M.P., Abad, V., Parra, H.: Statistical abnormal crowd behavior detection and simulation for real-time applications. In: International Conference on Intelligent Robotics and Applications, pp. 671–682 (2017)

    Google Scholar 

  16. Aguilar, W.G., Manosalvas, J.F., Guillén, J.A., Collaguazo, B.: Robust motion estimation based on multiple monocular camera for indoor autonomous navigation of micro aerial vehicle. In: International Conference on Augmented Reality, Virtual Reality and Computer Graphics, pp. 547–561 (2018)

    Google Scholar 

  17. Planells, P., Blasco, F.: DESARROLLO DEL MODELO DINÁMICO DE UN CUATRIRROTOR Y DISEÑO DE LOS SISTEMAS DE CONTROL DE ESTABILIZACIÓN Y SEGUIMIENTO AUTÓNOMO DE TRAYECTORIAS [Internet]. Universidad Politécnica de Valencia. Available from https://riunet.upv.es/bitstream/handle/10251/52791/TFG_14340178461876400573981960261481.pdf?sequence=2 (2015). Cited 2020 Jan 10

  18. Aguilar, W.G., Angulo, C.: Real-time video stabilization without phantom movements for micro aerial vehicles. EURASIP J. Image Video Process. 2014(1), 46 (2014)

    CrossRef  Google Scholar 

  19. Pusiol, P.D.: Redes Convolucionales en Comprension de Escenas [Internet]. Available from http://creativecommons.org/licenses/by-sa/2.5/ar/ (2014). Cited 2020 Jan 12

  20. Redmon, J., Divvala, S., Girshick, R., Farhadi, A.: You Only Look Once: Unified, Real-Time Object Detection [Internet]. Available from http://pjreddie.com/yolo/ (2016). Cited 2020 Jan 13

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Author information

Authors and Affiliations

  1. CICTE, DEEL, Universidad de las Fuerzas Armadas ESPE, Sangolquí, Ecuador

    Marco Calderón, Wilbert G. Aguilar & Darwin Merizalde

  2. FIS, Escuela Politécnica Nacional, Quito, Ecuador

    Wilbert G. Aguilar

  3. GREC, Universitat Politècnica de Catalunya, Barcelona, Spain

    Wilbert G. Aguilar

Authors
  1. Marco Calderón
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  2. Wilbert G. Aguilar
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  3. Darwin Merizalde
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Corresponding author

Correspondence to Wilbert G. Aguilar .

Editor information

Editors and Affiliations

  1. Departamento de Engenharia Informática, Universidade de Coimbra, Coimbra, Portugal

    Dr. Álvaro Rocha

  2. Centro de Investigación Científica y Tecnológica del Ejército (CICTE), Universidad de las Fuerzas Armadas ESPE, Sangolqui, Ecuador

    Manolo Paredes-Calderón

  3. Universidad Estatal Península de Santa Elena, La Libertad, Ecuador

    Dr. Teresa Guarda

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Calderón, M., Aguilar, W.G., Merizalde, D. (2020). Visual-Based Real-Time Detection Using Neural Networks and Micro-UAVs for Military Operations. In: Rocha, Á., Paredes-Calderón, M., Guarda, T. (eds) Developments and Advances in Defense and Security. MICRADS 2020. Smart Innovation, Systems and Technologies, vol 181. Springer, Singapore. https://doi.org/10.1007/978-981-15-4875-8_5

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