Skip to main content
Log in

Landing Control on a Mobile Platform for Multi-copters using an Omnidirectional Image Sensor

  • Published:
Journal of Intelligent & Robotic Systems Aims and scope Submit manuscript

Abstract

This paper proposes a vision-based target following and landing system for a quadrotor vehicle on a moving platform. The system employs a vision-based landing site detection and locating algorithm using an omnidirectional lens. The latest smartphone was attached to the UAV and served as an on-board image acquisition and process unit. Measurements from the omnidirectional camera are combined with a proper dynamic model in order to estimate position and velocity of the moving platform. An adaptive control scheme was implemented on the flight computer to deal with unknown disturbances in outdoor environments. The system was validated on a quadrotor UAV and the vehicle successfully landed on the moving platform during outdoor flight tests.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Sarris, Z.: Survey of UAV applications in civil markets. In: 9th Mediterranean Conference on Control and Automation, Dubrovnik, Croatia, pp. 27–29 (2001)

  2. Voos, H., Bou-Ammar, H.: Nonlinear tracking and landing controller for quadrotor aerial robots. In: IEEE International Conference on Control Applications, pp. 2136– 2141, 8-10 Sep (2010)

  3. Saripalli, S., Sukhatme, G.: Landing a Helicopter on a Moving Target. In: IEEE International Conference on Robotics and Automation, pp. 2030–2035,10–14 April (2007)

  4. Herissé, B., Hamel, T., Mahony, R., Russotto, F-X.: Landing a VTOL unmanned aerial vehicle on a moving platform using optical flow. IEEE Trans Robot 28(1), 77–89 (2012)

    Article  Google Scholar 

  5. Lee, D., Ryan, T., Kim, H.J.: Autonomous landing of a VTOL UAV on a moving platform using image-based visual servoing. IEEE International Conference on Robotics and Automation (IA), pp. 971-976, 14-18 May, 2012 (2012)

  6. Wenzel, K.E., Masselli, A., Zell, A.: Tracking and landing of a miniature UAV on a moving carrier vehicle. J Intell Robot Syst 61(1-4), 221–238 (2011)

    Article  Google Scholar 

  7. Scaramuzza, D., Martinelli, A., Siegwart, R.: A flexible technique for accurate omnidirectional camera calibration and structure from motion. In: Proceedings of IEEE International Conference of Vision Systems, 5–7 Jan (2006)

  8. Kim, J., Shim, D.H., Morrison, J.R.: Tablet PC-based visual target-following system for Quadrotors. J Intell Robot Syst 74(1-2), 85–95 (2014)

    Article  Google Scholar 

  9. Suzuki, S., Abe, K.: Topological structural analysis of digitized binary images by border following. Computer Vision Graphics Image Process 1(30), 32–46 (1985)

    Article  MATH  Google Scholar 

  10. Jung, Y., Shim, D.H.: Trajectory tracking methodology design using l1 adaptive control for multirotor UAVs. In: The Korean Society for Aeronautical and Space Sciences Fall Conference, 451–456 Nov (2013)

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to JeongWoon Kim.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kim, J., Jung, Y., Lee, D. et al. Landing Control on a Mobile Platform for Multi-copters using an Omnidirectional Image Sensor. J Intell Robot Syst 84, 529–541 (2016). https://doi.org/10.1007/s10846-016-0339-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10846-016-0339-y

Keywords

Navigation