[Studies in Computational Intelligence 481] Artur Babiarz, Robert Bieda, Karol Jędrasiak, Aleksander Nawrat (auth.), Aleksander Nawrat, Zygmunt Kuś (eds.) - Vision Based Systemsfor UAV Applications (2013, Sprin

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202 D. Cedrych et al. [16] Lumelsky, V.J., Stepanov, A.A.: Dynamic Path Planning for a Mobile Automaton with Limited Information on the Environment. IEEE Transactions on Automatic Control 31, 1058–1063 (1986) [17] Lumelsky, V.J., Stepanov, A.A.: Path-Planning Strategies for a Point Mobile Automaton Moving Amidst Unknown Obstacles of Arbitrary Shape. Algorithmica 2, 403–430 (1987) [18] Nakamura, Y., Mukherjee, R.: Nonholonomic Path Planning of Space Robots Via a Bidirectional Approach. IEEE Transactions on Robotics and Automation 7, 500– 514 (1991) [19] Nikolos, I.K., Valavanis, K.P., Tsourveloudis, N.C., Kostaras, A.N.: Evolutionary Algorithm Based Offline/Online Path Planner for Uav Navigation. IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics 33, 898–912 (2003) [20] Paik, D.S., Beaulieu, C.F., Jeffrey, R.B., Rubin, G.D., Napel, S.: Automated Flight Path Planning for Virtual Endoscopy. Medical Physics 25, 629–637 (1998) [21] Pehlivanoglu, Y.V., Baysal, O., Hacioglu, A.: Path Planning for Autonomous Uav Via Vibrational Genetic Algorithm. Aircraft Engineering and Aerospace Technology 79, 352–359 (2007) [22] Skrzypczyk, K., Gałuszka, A., Pacholczyk, M., Daniec, K.: Probabilistic Approach to Planning Collision Free Path of UAV. In: Nawrat, A., Simek, K., Świerniak, A. (eds.) Advanced Technologies for Intelligent Systems of National Border Security. SCI, vol. 440, pp. 59–68. Springer, Heidelberg (2013) [23] Thrun, S., Burgard, W., Fox, D.: Probabilistic Robotics. MIT Press (2005) [24] Tisdale, J., Kim, Z., Hedrick, J.K.: Autonomous UAV Path Planning and Estimation an Online Path Planning Framework for Cooperative Search and Localization. IEEE Robotics and Automation Magazine 16, 35–42 (2009) [25] Zhu, D., Latombe, J.C.: New Heuristic Algorithms for Efficient Hierarchical Path Planning. IEEE Transactions on Robotics and Automation 7, 9–26 (1991) [26] Maps with terrain details (2012), http://wysokosc.mapa.info.pl/ [27] Jędrasiak, K., Bereska, D., Nawrat, A.: The Prototype of Gyro-Stabilized UAV Gimbal for Day-Night Surveillance. In: Nawrat, A., Simek, K., Świerniak, A. (eds.) Advanced Technologies for Intelligent Systems of National Border Security. SCI, vol. 440, pp. 107–116. Springer, Heidelberg (2013) [28] Galuszka, A., Bereska, D., Simek, K., Skrzypczyk, K., Daniec, K.: Application of graphs theory methods to criminal analysis system. Przeglad Elektrotechniczny 86(9), 278–283 (2010) [29] Skrzypczyk, K.: Behaviour activity based maps applied to mobile robot navigation. In: Proceedings of the 13th WSEAS International Conference on Systems, pp. 295– 300 (2009) [30] Skorkowski, A., Topor-Kaminski, T.: Analysis of EGNOS-augmented receiver positioning accuracy. Acta Physica Polonica A 122(5), 821–824 (2012) [31] Iwaneczko, P., Jędrasiak, K., Daniec, K., Nawrat, A.: A prototype of unmanned aerial vehicle for image acquisition. In: Bolc, L., Tadeusiewicz, R., Chmielewski, L.J., Wojciechowski, K. (eds.) ICCVG 2012. LNCS, vol. 7594, pp. 87–94. Springer, Heidelberg (2012)
Probabilistic Approach to Planning Collision Free Path of UAV 203 [32] Czornik, A., Niezabitowski, M.: Lyapunov exponents for systems with unbounded coefficients. Dynamical Systems: An International Journal (2012) [33] Czornik, A., Nawrat, A., Niezabitowski, M.: On the Lyapunov exponents of a class of second-order discrete time linear systems with bounded perturbations. Dynamical Systems: An International Journal (2012) [34] Czornik, A., Niezabitowski, M.: On the spectrum of discrete time-varying linear systems. Nonlinear Analysis: Hybrid Systems 9, 27–41 (2013)
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Studies in Computational Intelligen
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Aleksander Nawrat · Zygmunt Kuś E
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“In God We Trust, All others we o
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VIII Preface valuable information i
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Contents Part I: Design of Object D
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Contents XIII Technology Developmen
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XVI List of Contributors Adam Czorn
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XVIII List of Contributors Henryk M
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XX List of Contributors Józef Wron
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2 Design of Object Detection, Recog
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4 A. Babiarz et al. 1 Introduction
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6 A. Babiarz et al. The description
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8 A. Babiarz et al. a) b) Fig. 5. T
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10 A. Babiarz et al. o o o “micvo
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12 A. Babiarz et al. a) b) Fig. 7.
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14 A. Babiarz et al. • The camera
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16 A. Babiarz et al. the camera ser
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18 A. Babiarz et al. a) b) Fig. 11.
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20 A. Babiarz et al. patrol point i
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24 A. Babiarz et al. The sample cod
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Recognition and Location of Objects
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52 P. Demski et al. 4 Automatic Tar
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54 P. Demski et al. implementing su
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Object Tracking for Rapid Camera Mo
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Object Tracking in a Picture during
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94 Construction of Image Acquisitio
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96 G. Bieszczad et al. effectivenes
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98 G. Bieszczad et al. such a way t
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100 G. Bieszczad et al. Table 1. No
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102 G. Bieszczad et al. Fig. 7. Pri
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110 G. Bieszczad et al. has to make
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112 G. Bieszczad et al. MTF functio
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114 G. Bieszczad et al. [11] Krupi
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116 D. Bereska et al. Presented in
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118 D. Bereska et al. Fig. 2. Image
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120 D. Bereska et al. Fig. 4. Ortho
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Omnidirectional Video Acquisition D
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Part III Design of Vision Based Con
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Vision System for Group of Mobile R
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274 A. Nawrat et al. alia weather c
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278 A. Nawrat et al. particular cha
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280 A. Nawrat et al. • 1-phase el
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282 A. Nawrat et al. The phase cond
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284 A. Nawrat et al. Table 1. Compa
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286 A. Nawrat et al. P3 P3 P3 71101
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288 A. Nawrat et al. S, VA 4,510 4,
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290 A. Nawrat et al. Comparison dif
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Technology Development of Military
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312 A. Czornik, A. Nawrat, and M. N
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328 M. Koźlak, A. Kurzeja, and A.
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344 Conclusions Control algorithms
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[Studies in Computational Intelligence 481] Artur Babiarz, Robert Bieda, Karol Jędrasiak, Aleksander Nawrat (auth.), Aleksander Nawrat, Zygmunt Kuś (eds.) - Vision Based Systemsfor UAV Applications (2013, Sprin

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