Blind localization method for quadrotor-unmanned aerial vehicle (QUAV) utilizing genetic algortihm

• Main Authors: Faelden, Gerard Ely U., Maningo, Jose Martin Z., Nakano, Reiichiro Christian S., Bandala, Argel A., Dadios, Elmer P.
• Format: text
• Published: Animo Repository 2014
• Subjects: Quadrotor helicopters; Genetic algorithms; Automatic tracking; Electrical and Computer Engineering; Electrical and Electronics; Systems and Communications
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/2341; https://animorepository.dlsu.edu.ph/context/faculty_research/article/3340/type/native/viewcontent
• Institution: De La Salle University

There is an increasing research interest in unmanned autonomous vehicles (UAVs) such as quadrotors. These researches applies these quadrotors for much more complicated tasks with most requiring cameras and GPS modules for positioning. This paper presents an alternative way of position localization o...