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In a search and rescue scenario, an expeditious response is critical since the radius of the search area increases by roughly 3 km per hour while the life expectancy of the lost individual decreases. To find the object of the search as quickly as possible, the incident commander creates an overlay probability map identifying high priority search areas and develops a search plan that allocates search...
The Intelligent Tasker was developed to provide dynamic retasking of autonomous coordinated aerial assets to accommodate “pop-up” points of interest and the loss of a team member during a coordinated mission. The system was implemented in MATLAB and can be integrated with various ground stations. The user interface and backend GA Optimizer make planning and executing an optimized coordinated mission...
Sense and Avoid (SAA) has been identified as one of the crucial technologies for UAV safety flight. The SAA systematic design is to develop a system with sensor configuration and SAA algorithms. Normally, the SAA system integration and test can be both expensive and dangerous without carefully system and algorithms development. In this paper, we proposed a software based SAA simulation framework for...
This paper concerns a distributed control approach of a fleet of Unmanned Aerial Vehicles (UAVs) based on a Leaderless strategy. The independent distributed particle swarm Optimization algorithms are used to develop this approach. The goal is to get a set of UAVs to fly on a 2D plane while converging to a predefined spatial configuration around a rendezvous point. The developed method would be applied...
Due to their rapid maneuverability and improved personnel safety, unmanned aerial vehicles (UAVs) with vision-based systems have great potential for monitoring and detecting forest fires. In this paper, a novel forest fire detection method utilizing both color and motion features is described for UAV-based forest firefighting applications. First, a color decision rule is designed to extract fire-colored...
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