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

• المؤلفون الرئيسيون: Faelden, Gerard Ely U., Maningo, Jose Martin Z., Nakano, Reiichiro Christian S., Bandala, Argel A., Dadios, Elmer P.
• التنسيق: text
• منشور في: Animo Repository 2014
• الموضوعات: Quadrotor helicopters; Genetic algorithms; Automatic tracking; Electrical and Computer Engineering; Electrical and Electronics; Systems and Communications
• الوصول للمادة أونلاين: https://animorepository.dlsu.edu.ph/faculty_research/2341; https://animorepository.dlsu.edu.ph/context/faculty_research/article/3340/type/native/viewcontent
• المؤسسة: 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...