Journal of Undergraduate Research


autonomous identification, classification of targets, unmanned aerial system


Ira A. Fulton College of Engineering and Technology


Mechanical Engineering


Commercial applications of unmanned aerial systems (UAS) are expected to grow significantly in the coming years [1]. Applications of unmanned aerial vehicles in the commercial market include agricultural and infrastructure monitoring, aerial photography, package delivery, fire monitoring, wildlife tracking, and search and rescue operations. One of the purposes of the AUVSI-SUAS competition is to train undergraduates for the growing UAS industry. In this competition a team’s UAS must autonomously identify and locate several targets, which are geometric shapes with a given shape, shape color, letter, letter color, geolocation, and orientation. The focus of this project is to develop the image processing and geolocation software necessary to participate in this competition.