Visual servoing for autonomous landing of a multi-rotor uas on a moving platform

Journal of Unmanned Vehicle Systems

Volumn 5, Issue 1, 2016, Pages 13-26

  Borshchova, Iryna ^a   O’young, Siu ^a  

^a MEMORIAL UNIVERSITY OF NEWFOUNDLAND   (Canada)

Author keywords

Autonomous landing; Image processing algorithm; ROS; UASs; Visual servoing

Indexed keywords

ANTENNAS; DRONES; LANDING; OBJECT TRACKING; VISUAL SERVOING;

AUTONOMOUS LANDING; EXPERIMENTAL PLATFORM; FEATURE TRACKING ALGORITHM; GEOMETRIC PATTERNS; IMAGE BASED VISUAL SERVOING; REAL-TIME EXPERIMENT; ROBOT OPERATING SYSTEMS (ROS); UNMANNED AERIAL SYSTEMS;

OBJECT DETECTION;

EID: 85020865235     PISSN: None     EISSN: 22913467     Source Type: Journal    
DOI: 10.1139/juvs-2015-0044     Document Type: Article

References (21)

1. Asl, H., and Bolandi, H. 2016. Robust vision-based control of an underactuated flying robot tracking a moving target. Trans. Inst. Meas. Contr. 36: 411–424. doi: 10.1177/0142331213502747.
2. Asl, H., Oriolo, G., and Bolandi, H. 2014. Output feedback image-based visual servoing control of underactuated unmanned aerial vehicle. Proc. IME Part I: Syst. Contr. Eng. 228: 435–448. doi: 10.1177/0959651814530698.
3. Canny, J. 1986. A computational approach to edge detection. IEEE Trans. Pattern Anal. Mach. Intell. PAMI-8 679–698. doi: 10.1109/TPAMI.1986.4767851.
4. Chaumette, F., and Hutchinson, S. 2006. Visual servo control. I. Basic approaches. IEEE Robot. Autom. Mag. 13: 82–90. doi: 10.1109/MRA.2006.250573.
5. Corke, P., and Hutchinson, S. 2000. Real-time vision, tracking and control. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA’00), 24–28 April 2000, San Francisco, CA, pp. 622–629.
6. Ding, W., Gong, Z., Xie, S., and Zou, H. 2006. Real-time vision-based object tracking from a moving platform in the air. In Intelligent Robots and Systems, 24–28 October 2006, Beijing, pp. 681–685.
7. Hamel, T., and Mahony, R. 2002. Visual servoing of an under-actuated dynamic rigid-body system: an image-based approach. IEEE Trans. Robot. Autom. 18: 187–198. doi: 10.1109/TRA.2002.999647.
8. He, Z., Iyer, R.V., and Chandler, P.R. 2006. Vision-based UAV flight control and obstacle avoidance. In 2006 American Control Conference, 14–16 June 2006, pp. 1–6.
9. Heikkila, J., and Silvén, O. 1997. A four-step camera calibration procedure with implicit image correction. In Computer Vision and Pattern Recognition, 17–19 June 1997, pp. 1106–1112.
10. Kannala, J., Heikkila, J., and Brand, S. 2008. Geometric camera calibration. In B.W. Wah (Ed.), Wiley Encyclopedia of Computer Science and Engineering (pp. 1–19). John Wiley & Sons, Inc. doi: 10.1002/9780470050118.ecse589.
11. Kiran, G., and Murali, S. 2013. Automatic rectification of perspective distortion from a single image using plane homography. Int. J. Comput. Sci. Appl. 3: 47–58. doi: 10.5121/ijcsa.2013.3506.
12. Lee, D., Ryan, T., and Kim, H. 2012. Autonomous landing of a VTOL UAV on a moving platform using image-based visual servoing. In Robotics and Automation (ICRA), 2012 IEEE International Conference, 14–18 May 2012, pp. 971–976.
13. Mondragon, I.F., Campoy, P., Correa, J.F., and Mejias, L. 2007. Visual model feature tracking for UAV control. In Intelligent Signal Processing, 3–5 October 2007, pp. 1–6.
14. Palmieri, G., Palpacelli, M., Battistelli, M., and Callegari, M. 2012. A comparison between position-based and image-based dynamic visual servoing. J. Robot. 2012: 1–11. doi: 10.1155/2012/103954.
15. Ruffier, F., and Franceschini, N. 2004. Visually guided micro aerial vehicle: automatic take off, terrain following, landing and wind reaction. In Robotics and Automation, 26 April–1 May 2004, pp. 2339–2346.
16. Sanchez-Lopez, J., Pestana, J., Saripalli, S., and Campoy, P. 2014. An approach toward visual Autonomous Ship Board Landing of a VTOL UAV. Intell. Robot. Syst. 74: 114––127. doi: 10.1007/s10846-013-9926-3.
17. Silveira, G., Azinheira, J.R., Rives, P., and Bueno, S. 2003. Line following visual servoing for aerial robots combined with complementary sensors. In IEEE International Conference on Advanced Robotics, Coimbra, Portugal, 30 June–3 July 2003, pp. 1160–1165.
18. Silveira, G., Cdho, J., Madrid, M., Bueno, S., and Rives, P. 2001. Towards vision guided navigation of autonomous aerial robots. In Anais do V Simpdaio Bmsileim de Automaglio Inteligente, Canela/RS, Brasil, 2001.
19. Teuliere, C., Eck, L., and Marhand, E. 2011. Chasing a moving target from a flying UAV. In IEEE/RSJ International Conference on Intelligent Robots and Systems, 25–30 September 2011, pp. 4929–4934.
20. Vinukonda, P., 2007. A study of scale-invariant feature transform on a parallel pipeline. Thesis for Master of Science in Electrical Engineering, submitted to the Faculty of the Louisiana State University and Mechanical College, pp. 1–14.
21. Zhou, G., and Zhou, B. 2015. Forecasting Method for Ship-borne Helicopter deck-landing. In International Conference on Education, Management, Commerce and Society, 2015, pp. 822–825.