Advanced SearchSearch Tips
Measurement of Aircraft Wing Deformation and Vibration Using Stereo Pattern Recognition Method
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
Measurement of Aircraft Wing Deformation and Vibration Using Stereo Pattern Recognition Method
Kim, Ho-Young; Yoon, Jong-Min; Han, Jae-Hung; Kwon, Hyuk-Jun;
  PDF(new window)
The present study was conducted by using stereo pattern recognition method(SPR method) to measure the displacement and vibration of an airplane wing in flight condition. A SPR based measurement system was developed using two visible light stereo cameras. The visible light stereo images were processed to obtain marker points by adaptive threshold method and marker filtering technique. The marker points were used to reconstruct 3D point, displacement, and vibration data. The SPR system was installed on F-16 fighter. The wing displacement and vibration were measured in flight condition. Therefore, this paper presents a possibility that SPR based measurement system using visible light stereo camera can be very useful for measuring displacement and vibration of an airplane in flight condition.
Stereo Camera;Stereo Pattern Recognition Method;Displacement Measurement;Vibration;
 Cited by
Boden, F., Lawson, N. and Jentink, H., Kompenhans, J., 2013, Advanced In-flight Measurement Techniques, Springer, pp. 93~114.

Stasicki, B. and Boden, F., 2009, Application of High-speed Videography for In-flight Deformation Measurements of Aircraft Propellers, Proc. SPIE 7126, 28th International Congress on High-speed Imaging and Photonics, 712604.

Kurita, M., Koike, S., Nakakita, K. and Masui, K., 2013, In-flight Wing Deformation Measurement, 51st AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition.

Park, J. W., Kim, H. I., Han, J. H., Kim, D. H. and Song, K. W., 2011, Measurement of Rotor Blade Deformation and Motions Using Stereo Pattern Recognition Method, Journal of the Korean Society for Aeronautical & Space Sciences, Vol. 39, No. 5, pp. 442~450. crossref(new window)

Kim, H. I., Kim, H. Y., Park, H. J. and Han, J. H., 2009, Development of a Point Tracking System for Measuring Structural Deformations Using Commercial Video Cameras, Int’l J. of Aeronautical & Space Sciences, Vol. 10, No. 2, pp. 86~94. crossref(new window)

Jeon, H. S., Choi, Y. C., Park, J. H. and Park, J. W., 2010, Parameter Studies for Measuring Vibration by Using Camera, Transactions of the Korean Society for Noise and Vibration Engineering, Vol. 20, No. 11, pp. 1033~1037. crossref(new window)

Zhengyou, Z., 2000, A Flexible New Technique for Camera Calibration, Pattern Analysis and Machine Intelligence, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 22, No. 11, pp. 1330~1334. crossref(new window)

Davies, E. R., 2012, Computer and Machine Vision: Theory, Algorithms, Practicalities, Academic Press.