[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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Gyro-Stabilized Platform for Multispectral Image Acquisition 117 Table 1. Technical parameters of the cameras used Sony FCB-EX980 [1] Thermoteknix Systems Ltd. Miracle [2] Screen resolution [pixels] 380 000 110 592 Operating temperature range 0 ÷ 50 -20 ÷ 50 [°C] Power consumption [W] 1,6/3,6 3,7 Size [mm] 55,3 x 57,5 x 88,5 45 x 52,5 x 57,6 Weight [g] 230 166 (without optics) Fig. 1. Schema of a tripod used for measuring the convergence of the optical axes of the visible and infrared spectrum cameras Fig. 2. presents two images acquired from both cameras. It can be observed that there is a high compliance of the scenes visible in the images.
118 D. Bereska et al. Fig. 2. Images acquired using a prototype platform optimizing mutual position and setting of lenses of both cameras 4 Platform Concept Before the design of opto-electronic gimbal a review of existing stabilized platforms was carried out. Four devices were selected from all devices meeting the specified criteria and available on the market. Selected devices are presented in tab. 2. Table 2. Technical comparison of gyro-stabilized platforms Pan/ tilt CloudCapTech TASE300 [3] continuous /(- 220° do +40°) HARV ISR Gimbal [4] continuous / continuous Vector 20 [5] continuous / (-90° do +60°) IAI MiniPOP [6] continuous / (-110° do +40°) Pan/ tilt 200°/s 600°/s pan 360°/s tilt. 60°/s 65°/s Size [mm] 176 x 176 x 238 192 x 116 x 267 267 x 213 x 431 Weight [kg] 260 x 260 x 380 2,27 3,17 11,8 16,3
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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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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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A Distributed Control Group of Mobi
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178 D. Bereska et al. The aim of th
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180 D. Bereska et al. 3 Control Alg
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182 D. Bereska et al. Fig. 5. Schem
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184 D. Bereska et al. 4.1 Mechanica
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186 D. Bereska et al. 4.1.3 Open-Lo
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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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212 M. Mellado and K. Skrzypczyk wh
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214 M. Mellado and K. Skrzypczyk Fi
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216 M. Mellado and K. Skrzypczyk 6
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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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276 A. Nawrat et al. have an embedd
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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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