Abstract
Computer vision is an ever more important means for the navigation of UAVs. Here we propose a landmark recognition system looking for salient man-made infrastructure. An object-oriented structural system is preferred since it can utilize known properties of these objects such as part-of hierarchies, mutual geometric constraints of parts, generalization etc. The structure, available for use as landmark, will vary strongly with the region the UAV is supposed to navigate in. Clear object-oriented coding of the knowledge on the landmarks, their constraints, and their properties is a key to swift adaption. This contribution reports on an example: Adapting a system, designed for a central European country (Germany), for use in a more Eastern region (Turkey).
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O. Aboutalib, B. Awalt, A. Fung, B. Thai, J. Leibs, T. J. Klausutis, R. Wehling, and M. Iames, “All Source Adaptive Fusion for Aided Navigation in Non-GPS Environment,” in SPIE XVI, Ed. by Z. Rahman, S. E. Reichenbach, and M. A. Niefeld (2007), Vol. 6575, pp. 8–13.
B. Draper, R. Collins, J. Brolio, A. Hanson, and E. Riseman, “The Schema System,” Int. J. Comp. Vision, No. 2, 209–250 (1989).
C.-E. Guo, S. C. Zhu, and Y. N. Wu, “Modeling Visual Patterns by Integrating Descriptive and Generative Methods,” Int. J. Comp. Vision 53(1), 5–29 (2003).
Z. He, R. V. Iyer, and P. Chandler, “Vision-Based UAV Flight Control and Obstacle Avoidance,” in Proc. IEEE American Control Conf. (Minneapolis, Jun. 2006), pp. 2166–2170.
K. Lujetjen, “Ein Blackboard-basiertes Productions-system fuer die automatische Bildauswertung,” in Mustererkennung, Ed. by G. Hartmann (Springer, Berlin, 1986), pp. 164–168.
T. Matsuyama and V. S.-S. Hwang, Sigma a Knowledge-Based Image Understanding System (Plenum Press, New York, 1990).
E. Michaelsen, L. Doktorski, and M. Arens, “Shortcuts in Production Systems—A Way to Include Clustering in Structural Pattern Recognition,” in Proc. PRIA-9-2008 (Lobachevsky State University, Nizhni Novgorod, 2008), Vol. 2, pp. 164–168.
E. Michaelsen, M. Arens, and L. Doktorski, “Interaction of Control and Knowledge in a Structural Recognition System,” in Proc. 32nd Ann. Conf. on Artificial Intelligence, Ed. by B. Mertsching, M. Hund, and M. Z. Aziz (Springer, Berlin, 2009), pp. 73–90.
E. Michaelsen, U. Stilla, U. Soergel, and L. Doktorski, “Extraction of Building Polygons form SAR Images: Grouping and Decision-Level in the GESTALT System,” Pattern Recogn. Lett. 31(10), 1071–1076 (2010).
E. Michaelsen and K. Jaeger, “A GOOGLE-Earth Based Test Bed for Structural Image—Based UAV Navigation,” in Proc. 12th Int. Conf. on Information Fusion (Seattle, Jul. 6–9, 2009), pp. 340–346.
M. Nagao and T. Matusuyama, A Structural Analysis of Complex Aerial Photographs (Plenum Press, New York, 1980).
U. Stilla and E. Michaelsen, “Semantic Modeling of Man-Made Objects by Production Nets,” in Automatic Extraction of Man-Made Objects from Aerial and Space Images, Ed. by A. Gruen, E. P. Baltsavias, and O. Henricsson (Birkhaeuser, Basel, 1997), pp. 43–52.
F. Bonin, A. Ortiz, and G. Oliver, “Visual Navigation for Mobile Robots: A Survey,” J. Intell. Robotic Syst. 53(3), 263–296 (2008).
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Michaelsen, E., Jäger, K., Roschkowski, D. et al. Object-oriented landmark recognition for UAV-navigation. Pattern Recognit. Image Anal. 21, 152–155 (2011). https://doi.org/10.1134/S1054661811020763
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DOI: https://doi.org/10.1134/S1054661811020763