Drone Formation Commercial Software:
This is another addendum
to the discussion about Drone Formation Commercial Software as described in
this document.
In this section, we describe surface detection. Drones can help with surface
detection by using an encompassing space around the surface to detect. Let us
assume that an object, say saucer like, needs to be surrounded by drones. The
points of reference along the object as positions around which the drones must
organize themselves can be easily determined by the drones themselves. We
further assume each drone can detect the distance to the object by themselves
or passed to each drone from some central sensor in real-time. If the scouts
can figure out the overall matrix of X-Y-Z coordinates that is sufficiently
large enough to encompass the object, then the rest of the drones can make use
of this initial grid to spread themselves out before each converges to a point
of reference closest to it and independent of others as long as it safe and not
colliding with other drones.
The scouts do a two-pass flyover the objects while the
distance remains within a range. If the range is exceeded, the boundary of the
encompassing grid is known. With the initial pass determining the grid a
subsequent pass to converge as close as possible to the surface of the object
while maintaining a distance from each other, helps the drone to determine the
points of reference on the surface. With the full strength of the drone
formation then spreading over and distributing themselves against the points of
reference will help to cover the surface.
When the number of drones is in excess of those required to
cover the surface, they can form ever-increasing layers over the underlying
points of reference. These points adjust to be on one layer for the layer above
and the logic remains the same for additional drones to work out the new
positions to occupy. Wave propagation and Fourier transform can predict how
soon the drones can cover the object or the number of layers to form and the
rate or duration for full coverage by all the drones.
Distance from each other as well as to a point of reference
is sensor-specific and merely translates as an input for the drone to determine
the actual position to occupy as the output. This works for all stationary
objects in an outward-grid-enclosing-on-to-the-surface-of-the-object manner for
the drone formation. Selection of the initial number and identities of the
drones for the scouts can be determined by a threshold for the maximum distance
allowed for a scout. After a scout reaches this threshold, another scout covers
the next interval to the allowed threshold.
Moving objects have the characteristics that their shape
remains constant during the flight and if the end points for the object can be
tracked as distinct positions over time, then they the frame of reference can
be adjusted to include the initial and final positions for a given time slice.
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