Journal of Undergraduate Research
Keywords
autonomous identification, classification of targets, unmanned aerial system
College
Ira A. Fulton College of Engineering and Technology
Department
Mechanical Engineering
Abstract
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.
Recommended Citation
McDonnell, Taylor and McLain, Tim
(2017)
"Autonomous Identification and Classification of Targets using an Unmanned Aerial System,"
Journal of Undergraduate Research: Vol. 2017:
Iss.
1, Article 31.
Available at:
https://scholarsarchive.byu.edu/jur/vol2017/iss1/31