Development of vision based position estimation system and its use on autonomous takeoff and landing of rotary aerial vehicles

Autor:	Ufuk Suat Aydin, Engin Esin
Rok vydání:	2014
Předmět:	Takeoff and landing Estimation Signal processing Computer science business.industry Position (vector) Global Positioning System Development (differential geometry) Computer vision Image processing Artificial intelligence business
Zdroj:	SIU
DOI:	10.1109/siu.2014.6830194
Popis:	In this paper, Image Processing Based Position Estimation System, developed by TUSAS-Turk Havacilik ve Uzay Sanayii AS., for the computation of accurate angular and translational position of the heliped, by the help of an additional camera system on a rotary unmanned aerial vehicle aimed to make an autonomous take-off and landing, is described.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::410ebeb899b51c8968d84a0f00b3e2ef https://doi.org/10.1109/siu.2014.6830194 Zobrazit plný text záznamu