Colorado Engineering Inc., United States
Keywords: Collision Avoidance, Fuzzy Systems, UAVs,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.