Abstract:
Multi-vehicle, multi-route conflict (collision)
avoidance is an issue that will become prevalent over the next
decade. With the dramatic increase in the number of UAV
drones and number of separate companies planning to employ
UAVs for everything from aerial reconnaissance to delivery to
search and rescue operations, understanding how to simply and
effectively keep UAVs from coming in conflict with each other
is a major concern. One of the issues associated with conflict
avoidance is to not have to tax the computational, memory, and
energy usage of the UAV to employ a conflict resolution
strategy. Here we present a fuzzy-based algorithm for detection
and implementation of conflict avoidance for UAVs/ drones that
will not adversely affect the power, weight, or size of the
individual units.
What we propose is a simple, fuzzy logic-driven algorithm for
collision/conflict avoidance for UAVs or small drones. The use
of a random, fuzzy-based algorithm allows for fast, efficient
computation. There would be a software agent on the
drones/UAVs that would manage the collision/conflict
avoidance system and send information to the flight control
system for speed/directional change, depending on the output of
the collision/conflict avoidance algorithms. Included will be a
discussion of the ISCAN© radar system capable of implanting
these algorithms on small drones.
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