Vision-based multi-UAV position estimation

Autor:	Luis Merino, Fernando Caballero, J.R.M. De Dios, Anibal Ollero, Klas Nordberg, Anders Moe, Johan Wiklund, Per-Erik Forssén
Rok vydání:	2006
Předmět:	Matching (statistics) Engineering Telerobotics Motion analysis business.industry Feature extraction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ComputerApplications_COMPUTERSINOTHERSYSTEMS Mobile robot Remotely operated underwater vehicle ComputingMethodologies_ARTIFICIALINTELLIGENCE Computer Science Applications Control and Systems Engineering Position (vector) Motion estimation ComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMS Computer vision Artificial intelligence Electrical and Electronic Engineering business
Zdroj:	IEEE Robotics & Automation Magazine. 13:53-62
ISSN:	1070-9932
DOI:	10.1109/mra.2006.1678139
Popis:	This paper describes a method for vision-based unmanned aerial vehicle (UAV) motion estimation from multiple planar homographies. The paper also describes the determination of the relative displacement between different UAVs employing techniques for blob feature extraction and matching. It then presents and shows experimental results of the application of the proposed technique to multi-UAV detection of forest fires
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::b318c0cd5dbbff18184005139f22faaf https://doi.org/10.1109/mra.2006.1678139 Zobrazit plný text záznamu