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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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Object Track<strong>in</strong>g for Rapid Camera Movements <strong>in</strong> 3D Space 65<br />

Figure 8 represents the model of helicopter dynamics for 3D space. It must be<br />

assumed that the trajectory control system ensures flight along a set trajectory.<br />

Therefore the follow<strong>in</strong>g transfer functions denot<strong>in</strong>g helicopter behavior are<br />

proposed:<br />

<br />

<br />

<br />

- transfer function for distortion <strong>in</strong> axis <br />

<br />

<br />

<br />

<br />

<br />

- transfer function for distortion <strong>in</strong> axis <br />

- transfer function for distortion <strong>in</strong> axis $z$<br />

<br />

<br />

- transfer function for distortion which results <strong>in</strong> helicopter<br />

<br />

rotation <strong>in</strong> a vertical plane.<br />

<br />

<br />

- transfer function for distortion which results <strong>in</strong> helicopter<br />

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rotation <strong>in</strong> the horizontal plane.<br />

Fig. 8. The helicopter dynamic model for particular control loops <strong>in</strong> 3D space<br />

Figure 9 shows the camera head control system. The goal of this control system<br />

is to compute the required set values for and variables. This signal<br />

allows to set camera direction to the object regardless of the helicopter position.<br />

The first block computes the position of the object , on the basis of<br />

the distance and the camera position. The <strong>in</strong>fluence of the helicopter rotations<br />

on the (x, y) plane and on an plane on the camera is def<strong>in</strong>ed as an adder. The

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