By Thanh Mung Lam (Editor)
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Additional info for Aerial Vehicles (2009)
The similarity threshold for horizontal shapes should not be too large to allow multiple prisms for features generated from grid cell clusters in order to represent non-vertical walls. For a better illustration, floor planes marked with lines every 8 meters are shown in the images. The computation speed on the 3 GHz test computer was generally in the interval from 15 to 20 frames per second. In a second test series, helicopter flights are performed outdoors. 5m, so that the map size of each zone is doubled.
2594-2599, Barcelona. , University of the Mediterranean and CNRS France 1. Introduction Nature provides us with many examples of ingenious sensors and systems at the service of animal behavior, which can be transferred into innovative systems for the control of MicroAir Vehicles (MAVs). Winged insects demonstrate daunting behaviors in spite of the poor resolution of their visual system. For more than 100 million years, they have been navigating in unfamiliar 3D environments by relying on optic flow (OF) cues.
The block executes the M-code and calculates the block outputs during the Simulink simulation. When hardware is generated, the same code is translated into equivalent behavioral VHDL in a straightforward manner. Figure 10. Transposed-Direct-Form-II implementation for the side controller (input to the left, outputs to the right) Field Programmable Gate Array (FPGA) for Bio-inspired visuo-motor control systems applied to Micro-Air Vehicles 45 The side controller was designed in the same way as the forward controller, figure 10.
Aerial Vehicles (2009) by Thanh Mung Lam (Editor)