[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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172 A. Babiarz, R. Bieda, and K. Jaskot Trajectory Tracking Figure 17 shows the trajectory tracked of an experiment similar to the one shown in Section 5.1 i.e. the human operator was inducing only the movement forward. The results are the same: the robot changes the trajectory automatically near the top edge due to the computer intervention and stops at the left edge as intended. (a) First (b) Second (c) Third Fig. 18. Photos from the camera (d) Fourth At Figure 18 there are four photo saved from the camera above the playground of the moving robot at the presented trajectory. The last frame 18(d) shows clearly that the robot has stopped before the edge not touching it. (a) Trajectory (b) Speed Fig. 19. Computer controlled intervention and human control override
A Distributed Control Group of Mobile Robots 173 6 Summary Fig. 19. (continued) The Master Control System achieved all the stated goals. It is a reliable controller for manual control using various control instruments, allows tuning of the parameters of its control algorithms, default values of these are optimized, so that a learning curve of the controls is very steep. Feedback of current state of playground is simple and informative, and the graphical user interface is user friendly - the operator can start controlling robots right away even without reading the manual. Numerous functions can be checked, their effects on each other read and concluded from. Future work on artificial intelligence in the project can utilize this controller in order to teach neural networks. Most importantly, computer controlled intervention proposed can be reused as a basis in many real world applications, like the example of automotive industry and driving assists on future roads. Algorithms here are working in completely different environment, that imply use of different ways of getting to know the object surrounding, but the idea at the bottom is the same. Fig. 20. Front assist [13] Fig. 21. Lane assist [13]
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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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12 A. Babiarz et al. a) b) Fig. 7.
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Recognition and Location of Objects
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Object Tracking for Rapid Camera Mo
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94 Construction of Image Acquisitio
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Feature Extraction and HMM-Based Cl
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Technology Development of Military
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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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