F. Y. Hsiao This email address is being protected from spambots. You need JavaScript enabled to view it.1, H. K. Hsu1, C. L. Chen1, L. J. Yang2 and J. F. Shen3

1Department of Aerospace Engineering, Tamkang University, Tamsui, Taiwan 251, R.O.C.
2Department of Mechanical and Electro-Mechanical Engineering, Tamkang University, Tamsui, Taiwan 251, R.O.C.
3Primax Electronics Ltd, Neihu, Taipei, Taiwan, R.O.C.


 

Received: March 9, 2012
Accepted: May 10, 2012
Publication Date: September 1, 2012

Download Citation: ||https://doi.org/10.6180/jase.2012.15.3.02  


ABSTRACT


This paper investigates the potential to acquire flight information, including the spatial position and attitude, of a flapping-wing micro-aerial vehicle (MAV) utilizing a stereo-vision system. The flapping-wing MAV used in this paper is the Golden Snitch developed by the MEMS Laboratory in the Tamkang University. The Golden Snitch has wing span of 20 cm and weight of 8 g. Due to limited loading capacity, a conventional inertia measurement unit cannot be installed onboard. As a result, an external stereo-vision system is a potential solution to navigate a flapping-wing MAV. At beginning, techniques of image processing and stereo vision are briefly reviewed. Then, formulae to obtain flight information through the measurements of the stereo-vision system are derived. Four types of experiments are designed and accomplished to evaluate the performance of the system. Experiment results are provided to demonstrate the applicability and constraints of our algorithms.


Keywords: Flapping-Wing MAV, Stereo Vision, Image Processing, Attitude Determination, Autonomous Flight


REFERENCES


  1. [1] Chen, P. C., The Study, Design and Realization of the Portable Unmanned Aerial Vehicle, Master thesis, Department of Aerospace Engineering, Tamkang University (2009).
  2. [2] Liu, Y. N., Vision-Based Moving Target Tracking and Estimation for Unmanned Helicopter, Master thesis, Tainan, Natioanl Cheng-Kung University (2009).
  3. [3] Hsu, R. L., “Face Detection in Color Images,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 24, pp. 696706 (2002)
  4. [4] Chen, K. Y., Cheng-Chin Chien, C. C., Chang, W. L. and Hsieh, C. C., “Improving the Accuracy of Depth Estimation Using a Modified Stereo Vision Model in Binocular Vision,” The 10th International Symposium on Measurement Technology and Intelligent Instruments, Daejeon, Korea (2011)
  5. [5] Chen, C. L. and Hsiao, F. Y., “Attitude Acquisition Using Stereo-Vision Methodology,” presented as Paper VIIP 652-108 at the 2009 IASTED Conference, Cambridge, UK, Jul. 13-15 (2009)
  6. [6] Norberg, U. M., Vertebrate Flight: Mechanics, Physiology, Morphology, Ecology and Evolution, New York, Springer-Verlag (1990)
  7. [7] Pornsin-sirirak, T. N., Tai, Y. C., Nassef, H. and Ho, C. M., “Titanium-Alloy MEMS Wing Technology for a Micro Aerial Vehicle Application,” Sensors and Actuators A: Physical, Vol. 89, pp. 95103 (2001)
  8. [8] Yang, L. J., Hsu, C. K., Ho, J. Y. and Feng, C. K, “Flapping Wings with PVDF Sensors to Modify the Aerodynamic Forces of a Micro Aerial Vehicle,” Sensors and Actuators A: Physical, Vol. 139, pp. 95103 (2007).
  9. [9] Yang, L. J., Hsu, C. K., Kao, C. Y., Hsiao, F. Y. and Feng, C. K, “Weight Reduction of Flapping Micro Aerial Vehicles by Electrical Discharge Wire Machining,” Journal of Aeroautics, Astronautics and Aviation, Series A, Vol. 41, pp. 165172 (2009).
  10. [10] de Croon, G. C. H. E., de Clercq, K. M. E., Ruijsink, R., Remes, B. and de Wagter, C., “Design, Aerodynamics, and Vision-Based Control of the DelFly,” International Journal of Micro Air Vehicles, Vol. 1, pp. 7197 (2009)
  11. [11] Bermudez, F. G. and Fearing, R., “Optical Flow on a Flapping Wing Robot,” Proceedings of the 2009 IEEE/ RSJ International Conference on Intelligent Robots and Systems, IEEE Press Piscataway, NJ, USA (2009).
  12. [12] Lin, S. H., Hsiao, F. Y., Chen, C. L. and Shen, J. F., “Altitude Control of Flapping-Wing MAV Using Vision-Based Navigation,” Paper #WeA01.1 at the 2010 American Control Conference at an Invited Session, Baltimore, MD, USA (2010).
  13. [13] Cheng, Y. H., Vision-Based Track Following for Unmanned Aerial Vehicle. Master’s thesis, Tainan, National Cheng Kung University (2008).
  14. [14] Phillips, W. F., Mechanics of Flight, John Wiley and Sonic, pp. 623625 (2004).
  15. [15] Wu, T. H., Design and Implementation of a MEMSBased Flight Information Unit, Master thesis, Department of Aerospace Engineering, Tankang University (2008).
  16. [16] Gonzalez, R. C., Woods, R. E. and Eddins, S. L., Digital Image Processing Using MATLAB, 2ed, Gatesmark Publishing (2009).
  17. [17] Flight Test of Golden Snitch, Available at http://www. youtube.com/watch?v=bexOl4YNnd0.