Abstract
This article is devoted to development of methods of positioning of unmanned aerial vehicles (UAV) with use of video cameras and methods of computer vision. UAV flies over the district, having a relief. Main feature of proposed method is using of Gabor’s wavelets to search of so-called reference points with known 3D-coordinates. Reference points are used from etalon images of the district (for example, satellite images) and looked for on the frame from the UAV’s camera. Also, comparison of feature points from the frame and a satellite image detected by SURF algorithm is used. The system of modeling of flight of the virtual UAV which allows testing the developed algorithms is realized.
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References
Grzonka, S., Grisetti, G., Burgard, W.: A fully autonomous indoor quadrotor. In: IEEE Transactions on Robotics, vol. 28(1), pp. 90–100. IEEE Press (2012)
Collier, J., Trentini, M., Giesbrecht, J., McManus, C., Furgale, P., Stenning, B., Barfoot, T.D., Kotamraju, S., Se, V., Jasiobedzki, P., Shang, L., Chan, B., Harmat, A., Sharf, I.: Autonomous navigation and mapping in GPS-denied environments at defence R&D Canada. In: Proceedings of NATO Symposium SET 168: Navigation Sensor and Systems in GNSS Denied Environments, p. 12. Izmir, Turkey (2012)
Piratla, V., Malode, S.B., Saini, S.K., Jakhotia, A., Sao, A.K., Rajpurohit, B.S., Haobijam, G.: Autonomous navigation in GPS denied indoor environment using RGBD sensor, kinect. In: Fourth Symposium on Indoor Flight Issues, p. 12 (2012)
Bachrach, A., Prentice, S., He, R., Roy, N.: RANGE—robust autonomous navigation in GPS-denied environments. J. Field Robot. 29 (2011)
Grzonka, S., Grisetti, G., Burgard, W.: Autonomous indoors navigation using a small-size quadrotor. In: Workshop Proceedings of International Conference on Simulation, Modeling and Programming for Autonomous Robots (SIMPAR), pp. 455–463. Venice, Italy (2008)
Conte, G., Doherty, P.: Vision-based unmanned aerial vehicle navigation using geo-referenced information. EURASIP J. Adv. Sig. Process. 18 (2009)
Nwe, T.T., Htike, T., Mon, K.M., Naing, Z.M., Myint, Y.M.: Application of an inertial navigation system to the quad-rotor UAV using MEMS sensors. Proc. World Acad. Sci.: Eng. Technol. 44, 578–582 (2008)
Andert, F., Adolf, F.: Online world modeling and path planning for an unmanned helicopter. Auton. Robots 27(3), 147–164 (2009)
Kemp, C.: Visual control of a miniature quad-rotor helicopter. PhD thesis, p. 147. University of Cambridge (2006)
Johnson, N.: Vision-assisted control of a hovering air vehicle in an indoor setting. Master’s thesis, p. 155. Brigham Young University (2008)
Ahuja, S.: Correlation based similarity measures—summary https://siddhantahuja.wordpress.com/tag/sum-of-absolute-differences-sad/
Michaelsen, E., Kirchhof, M., Stilla, U.: Sensor pose inference from airborne videos by decomposing homography estimates. In: Altan M.O. (ed.) International Archives of Photogrammetry and Remote Sensing, vol. 35, Part B3, p. 6 (2004)
Vargas, M., Malis, E.: Visual servoing based on an analytical homography decomposition. In: Proceedings of the 44th IEEE Conference on Decision and Control, and the European Control Conference 2005, pp. 5379–5384. Seville, Spain (2005)
Bradski, G., Kaehler, A.: Learning OpenCV. O’Reilly Media, p. 576 (2008)
Kamarainen, J.-K.: Invariance properties of gabor filter based features— overview and applications. IEEE Trans. Image Process. 15(5), 12 (2006)
Bardsley, D.: Stereo vision for 3d face recognition, year 1 annual review, PhD report. University of Nottingham, p. 36 (2005)
GDAL, translator library for raster geospatial data formats. http://gdal.org
Bay, H., Ess, A., Tuytelaars, T., Van Gool, L.: SURF: speeded up robust features. Comput. Vis. Image Underst. (CVIU) 110(3), 346–359 (2008)
osgEarth—C++ geospatial SDK and terrain engine. http://osgearth.org/
Stewenius, H., Engels, C., Nister, D.: Recent developments on direct relative orientation. ISPRS J. Photogrammetry Remote Sens. 60(4), 284–294 (2006)
Fischler, M.A., Bolles, R.C.: Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. Comm. ACM 24(6), 381–395 (1981)
Cesetti, A., Frontoni, E., Mancini, A., Ascani, A., Zingaretti, P., Longhi, S.: A visual global positioning system for unmanned aerial vehicles used in photogrammetric applications. J. Intell. Rob. Syst. 61(1), 157–168 (2011)
Lowe, D.G.: Distinctive image features from scale-invariant keypoints. Int. J. Comput. Vis. 60(2), 91–110 (2004)
Acknowledgments
This work was supported by the Ministry of Education and Science of the Russian Federation, agreement № 14.607.21.0012 for a grant on “Conducting applied research for the development of intelligent technology and software systems, navigation and control of mobile technical equipment using machine vision techniques and high-performance distributed computing”. Unique identifier: RFMEFI60714X0012.
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Stepanov, D., Tishchenko, I. (2017). Methods of Visual Navigation of the UAV Flying Over the Nonplanar District. In: Kim, JH., Karray, F., Jo, J., Sincak, P., Myung, H. (eds) Robot Intelligence Technology and Applications 4. Advances in Intelligent Systems and Computing, vol 447. Springer, Cham. https://doi.org/10.1007/978-3-319-31293-4_45
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DOI: https://doi.org/10.1007/978-3-319-31293-4_45
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