[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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136 S. Fraś et al. • ability of instant change of looking direction, OVAD, unlike in rotating cameras which are limited by drive time of servo-motor, moreover time of change does not differ • OVAD can be few times cheaper than rotating cameras dedicated for UAVs, • absence of moving elements – utilizing of rotating camera may be problematic in difficult weather conditions, such as large pollination, which may cause blockage of moving elements and because of that losing all functionalities of device. Furthermore, blockage might lead to overheating of servo-motor, which eventually may cause irreparable damage, • huge perspectives on further improvement of device – overall concept is very adaptable and this feature makes a lot of space for innovations , such as extending field of view into half-sphere by utilizing of more cameras or using digital cameras (together with FPGA board) instead of analog ones (that would create a possibility to make device a lot smaller). Acknowledgements. Article is co-financed by European Union within European Social Fund within SWIFT project POKL.08.02.01-24-005/10. References [1] Jenkins, F., White, H.: Fundamentals of optics. McGraw-Hill Book Company (1957) [2] Horowitz, P., Hill, W.: Sztuka Elektroniki, WKiŁ, Warsaw, ISBN: 83-206-1128-8 [3] Texas Instruments, CD4051B datasheet, access via Internet: http://www.alldatasheet.com (access: December 2012) [4] STMicroelectronics, STM32F103x8 datasheet, access via Internet: http://www.alldatasheet.com (access: December 2012) [5] Texas Instruments, SN65HVD230 datasheet, access via Internet: http://www.alldatasheet.com (access: December 2012) [6] Texas Instruments, LMV651 datasheet, access via Internet: http://www.alldatasheet.com (access: December 2012) [7] STMicroelectronics, LE33CD datasheet, access via Internet: http://www.alldatasheet.com (access: December 2012) [8] Official OpenCV website, access via Internet: http://www.opencv.org (access: December 2012) [9] Official EmguCV website, access via Internet: http://www.emgu.com (access: December 2012) [10] Official OpenTK website, access via Internet: http://www.opentk.com (access: December 2012) [11] Nawrat, A., Daniec, K., Warmuz, T.: Object detection using IR camera. In: Nawrat, A., Simek, K., Świerniak, A. (eds.) Advanced Technologies for Intelligent Systems of National Border Security. SCI, vol. 440, pp. 129–142. Springer, Heidelberg (2013) [12] 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)
Part III Design of Vision Based Control Algorithms
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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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22 A. Babiarz et al. particular ang
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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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48 P. Demski et al. Fig. 1. Automat
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50 P. Demski et al. E-Grip firing m
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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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188 D. Bereska et al. Fig. 16. Comp
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Probabilistic Approach to Planning
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206 Practical Applications of Class
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208 M. Mellado and K. Skrzypczyk an
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210 M. Mellado and K. Skrzypczyk a
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Prototyping the Autonomous Flight A
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Feature Extraction and HMM-Based Cl
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248 K. Daniec et al. In this articl
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250 K. Daniec et al. Fig. 2. Applic
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252 K. Daniec et al. by the ability
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254 K. Daniec et al. The idea of us
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Selection of Individual Gait Featur
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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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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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