Extreme learning machine terrain-based navigation for unmanned aerial vehicles

• Main Authors: KAN, Ee May, LIM, Meng Hiot, ONG, Yew Soon, TAN, Ah-hwee, YEO, Swee Ping
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2012
• Subjects: Unmanned aerial vehicles (UAVs); Extreme learning machines (ELM); Terrain-based navigation; Computer and Systems Architecture; Databases and Information Systems; Theory and Algorithms
• Online Access: https://ink.library.smu.edu.sg/sis_research/5193; https://ink.library.smu.edu.sg/context/sis_research/article/6196/viewcontent/ELM_UAV.pdf
• Institution: Singapore Management University

Unmanned aerial vehicles (UAVs) rely on global positioning system (GPS) information to ascertain its position for navigation during mission execution. In the absence of GPS information, the capability of a UAV to carry out its intended mission is hindered. In this paper, we learn alternative means f...