Abstract
The horizon appearance is a strong visual indication of the attitude of an aircraft, so a vision based system should be able to detect the horizon and use its appearance to extract attitude measurements. Past methods have made the assumption that the horizon is straight, this neglects possible navigational and attitude information. This paper outlines a horizon detection method which allows for the actual horizon profile shape to be extracted. This horizon profile is then used for visual attitude determination. Test results for a captured flight video are presented and the proposed method is compared and evaluated against other methods.
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References
Bohren, C.F., Huffman, D.R.: Absorption and Scattering of Light by Small Particles. Wiley, New York (1983)
Cornall, T.D., Egan, G.K.: Measuring horizon angle from video on a small unmanned air vehicle. In: 2nd International Conference on Autonomous Robots and Agents (2004)
Cornall, T.D., Egan, G.K.: Heaven and Earth: how to tell the difference. Technical Report MECSE-21-2005, Department of Electrical and Computer Systems Engineering, Monash University (2005)
Cornall, T.D., Egan, G.K., Price, A.: Aircraft attitude estimation from horizon video. Electron. Lett. 42(13), 744–745 (2006)
Davies, E.R.: Machine Vision: Theory, Algorithms, Practicalities. Elsevier, Amsterdam (2005)
Dusha, D., Boles, W., Walker, R.: Fixed-wing attitude estimation using computer vision based horizon detection. In: 12th Australian International Aerospace Congress, pp. 1–19 (2007)
Dusha, D., Mejias, L., Walker, R.: Fixed-wing attitude estimation using temporal tracking of the horizon and optical flow. J. Field Robot. 28(3), 355–372 (2011). doi:10.1002/rob.20387
Ettinger, S.M.: Design and Implementation of Autonomous Vision-Guided Micro Air Vehicles. University of Florida (2001)
Ettinger, S.M., Nechyba, M.C., Ifju, P.G., Waszak, M.: Towards flight autonomy: Vision-based horizon detection for micro air vehicles. In: Conference on Recent Advances in Robotics, Florida (2002)
Ettinger, S.M., Nechyba, M.C., Ifju, P.G., Waszak, M.: Vision-guided flight stability and control for micro air vehicles. In: IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 2134–2140 (2002)
Forsyth, D., Ponce, J.: Computer Vision: A Modern Approach. Prentice Hall, Englewood Cliffs (2002)
Greer, D.G., Mudford, R., Dusha, D., Walker, R.A.: Airborne systems laboratory for automation research. In: Proceedings of 27th International Congress of the Aeronautical Sciences, Acropolis Conference Centre, Nice (2010)
Gui-Qiu, B., Shen-Shu, X., Zhao-Ying, Z.: Vision-based horizon extraction for micro air vehicle flight control. IEEE Trans. Instrum. Meas. 54(3), 1067–1072 (2005)
Gupta, V., Brennan, S.: Terrain based vehicle orientation estimation combining vision and inertial measurements. J. Field Robot. 25(3), 181–202 (2008)
Holland, P.W., Welsch, R.E.: Robust regression using iteratively reweighted least-squares. Commun. Stat., Theory Methods 6(9), 813–827 (1977)
Luo, J., Etz, S.: A physical model-based approach to detecting sky in photographic images. IEEE Trans. Image Process. 11(3), 201–212 (2002)
Minnaert, M.G.J.: The nature of light and colour in the open air. In: Dover Books on Earth Sciences. Dover, New York (1954)
Mondragón, I.F., Campoy, P., Martinez, C., Olivares, M.: Omnidirectional vision applied to Unmanned Aerial Vehicles (UAVs) attitude and heading estimation. Robot. Auton. Syst. 58(6), 809–819 (2010)
Rey, W.J.J.: Introduction to Robust and Quasi-Robust Statistical Methods. Springer, New York (1983)
Sergiy, F., Volha, S., Lawrence, O.H., Dmitry, B.G.: Horizon detection using machine learning techniques. In: 5th International Conference on Machine Learning and Applications, pp. 17–21 (2006)
Todorovic, S., Nechyba, M.C., Ifju, P.G.: Sky/ground modeling for autonomous MAV flight. In: IEEE International Conference on Robotics and Automation, vol. 1421, pp. 1422–1427 (2003)
Vincent, L.: Morphological grayscale reconstruction in image analysis: applications and efficient algorithms. IEEE Trans. Image Process. 2(2), 176–201 (1993)
Woo, J., Kweon, I., Kim, G., Kim, I., Yuseong, P., Daejeon, K.: Robust horizon and peak extraction for vision-based navigation. In: IAPR Conference on Machine Vision Applications, Tokyo, Japan (2005)
Woo, J., Son, K., Li, T., Kim, G., Kweon, I.: Vision-based UAV navigation in mountain area. In: IAPR Conference on Machine Vision Applications, Tokyo, Japan (2005)
Yuan, H.Z., Zhang, X.Q., Feng, Z.L.: Horizon detection in foggy aerial image. In: International Conference on Image Analysis and Signal Processing, pp. 191–194 (2010)
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Dumble, S.J., Gibbens, P.W. Horizon Profile Detection for Attitude Determination. J Intell Robot Syst 68, 339–357 (2012). https://doi.org/10.1007/s10846-012-9684-7
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DOI: https://doi.org/10.1007/s10846-012-9684-7