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Vision-Based Hardware-in-the-Loop-Simulation for Unmanned Aerial Vehicles

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Intelligent Computing Theories and Application (ICIC 2018)

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Abstract

This paper proposes a new configuration of a general hardware-in-the-loop-simulation (HILS) setup of Unmanned Aerial vehicle (UAV) especially for vision algorithm. In our setup, the Gazebo software is used to simulate six-degree-of-freedom (6 DOF) model and corresponding sensor readings such as the inertial measurement unit (IMU) and the camera for a quad-rotor UAV. Meanwhile, the flight control algorithm is performed on the Pixhawk hardware. The Raspberry hardware is installed the vision algorithms to estimate the position of the quad-rotor UAV for the landing task. The middle software named control application software (CAS) is developed to collect the communication between the Gazebo, Pixhawk and Raspberry by using the multithread architecture. Numerical implementation has been performed to prove effectiveness of the suggested HILS components approach.

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References

  1. Khosiawan, Y., Nielsen, I.: A system of UAV application in indoor environment. Prod. Manuf. Res. Open Access J. 4(1), 2–22 (2016)

    Google Scholar 

  2. Nex, F., Remondino, F.: UAV for 3D mapping applications: a review. Appl. Geomatics 6, 1–15 (2014)

    Article  Google Scholar 

  3. Gomez-Balderas, J.E., Flores, G., Garcia, C.L.R., Lozano, R.: Tracking a ground moving target with a quadrotor using switching control. J. Intell. Rob. Syst. 70, 65–78 (2013)

    Article  Google Scholar 

  4. Hoang, T., Bayasgalan, E., Wang, Z., Tsechpenakis, G., Panagou, D.: Vision-based target tracking and autonomous landing of a quadrotor on a ground vehicle. In: American Control Conference, USA, pp. 5580–5585 (2017)

    Google Scholar 

  5. Fraundorfer, F., Heng, L., Honegger, D., Lee, G.H., Meier, L., Tanskanen, P., Pollefeys, M.: Vision-based autonomous mapping and exploration using a quadrotor UAV. In: IEEE/RSJ International Conference on Intelligent Robots and Systems, Portugal, pp. 4557–4564 (2012)

    Google Scholar 

  6. Duan, H., Zhang, Q.: Visual measurement in simulation environment for vision based UAV autonomous aerial refueling. IEEE Trans. Instrum. Meas. 64, 2468–2480 (2015)

    Article  Google Scholar 

  7. Mingu, K., Daewon, L., Jaemann, P., Chulwoo, P., Hyoun, J.K., Youdan, K.: Vision-based hardware-in-the loop simulation test of vision based net recovery for fixed wing unmanned aerial vehicle. In: Third Asia-Pacific International Symposium on Aerospace Technology (2011)

    Google Scholar 

  8. Trilaksono, B.R., Triadhitama, R., Adiprawita, W., Wibowo, A.: Hardware-in-the-loop simulation for visual target tracking of octorotor UAV. Aircr. Eng. Aerosp. Technol. 83, 407–419 (2011)

    Article  Google Scholar 

  9. Gans, N.R., Dixon, W.E., Lind, R., Kurdila, A.: A hardware in the loop simulation platform for vision-based control of unmanned air vehicles. Mechatronics 19, 1043–1056 (2009)

    Article  Google Scholar 

  10. Gazebo. http://Gazebosim.org/. Accessed 6 June 2017

  11. Odelga, M., Stegagno, P., Bülthoff, H.H., Ahmad, A.: A setup for multi-UAV hardware-in-the-loop simulations. In: 2015 Workshop on Research, Education and Development of Unmanned Aerial Systems, Mexico, pp. 204–210 (2015)

    Google Scholar 

  12. Bu, Q., Wan, F., Xie, Z., Ren, Q., Zhang, J., Liu, S.: General simulation platform for vision based UAV testing. In: 2015 IEEE International Conference on Information and Automation, China, pp. 2512–2516 (2015)

    Google Scholar 

  13. Saunders, J., Beard, R.: UAS flight simulation with hardware-in-the-loop testing and vision generation. J. Intell. Rob. Syst. 57, 407–415 (2010)

    Article  Google Scholar 

  14. Lepej, P., Navarro, A.S., Sola, J.: A flexible hardware-in-the-loop architecture for UAVs. In: 2017 International Conference on Unmanned Aircraft Systems, USA, pp. 1751–1756 (2017)

    Google Scholar 

  15. Pounds, P., Mahony, R., Corke, P.: Modeling and control of a large quadrotor robot. Control Eng. Pract. 18, 691–699 (2010)

    Article  Google Scholar 

  16. Xiong, J.J., Zhang, G.B.: Global fast dynamic terminal sliding mode control for a quadrotor UAV. ISA Trans. 66, 233–240 (2017)

    Article  Google Scholar 

  17. Abellanosa, C.P., Lugpatan, R.P.J., Pascua, D.A.D.: Position estimation using inertial measurement unit (IMU) on a quadcopter in an enclosed environment. Int. J. Comput. Commun. Instrum. Eng. 3, 332–336 (2016)

    Google Scholar 

  18. Zhang, T., Kang, M., Achtelik, M., Kiihnlenz, K., Buss, M.: Autonomous hovering of a Vison/IMU guided quad-rotor. In: 2009 International Conference on Mechatronics and Automation, China, pp. 2870–2875 (2009)

    Google Scholar 

  19. Carreira, T.G.: Quadcopter automatic landing on a docking station. Master thesis, Instituto Superior Tecnico (IST) (2013)

    Google Scholar 

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Correspondence to Cheolkeun Ha .

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Nguyen, K.D., Ha, C. (2018). Vision-Based Hardware-in-the-Loop-Simulation for Unmanned Aerial Vehicles. In: Huang, DS., Bevilacqua, V., Premaratne, P., Gupta, P. (eds) Intelligent Computing Theories and Application. ICIC 2018. Lecture Notes in Computer Science(), vol 10954. Springer, Cham. https://doi.org/10.1007/978-3-319-95930-6_8

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  • DOI: https://doi.org/10.1007/978-3-319-95930-6_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-95929-0

  • Online ISBN: 978-3-319-95930-6

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