Localization and stabilization of micro aerial vehicles based on visual features tracking
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F14%3A00224905" target="_blank" >RIV/68407700:21230/14:00224905 - isvavai.cz</a>
Result on the web
<a href="http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6842304" target="_blank" >http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6842304</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICUAS.2014.6842304" target="_blank" >10.1109/ICUAS.2014.6842304</a>
Alternative languages
Result language
angličtina
Original language name
Localization and stabilization of micro aerial vehicles based on visual features tracking
Original language description
This article presents a method for long-term autonomous micro-aerial vehicle (MAV) localization and position stabilization. The proposed method extends MAV proprietary stabilization based on inertial sensor or optical flow processing, without use of an external positioning system. The method extracts visual features from the images captured by a down-looking camera mounted under the MAV and matching these to previously observed features. Due to its precision and reliability, the method is well suited for stabilization of MAVs acting in closely cooperating compact teams with small mutual distances between team members. Performance of the proposed method is demonstrated by experiments on a quad-copter equipped with all necessary sensors and computers forthe autonomous operation.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
—
Result continuities
Project
<a href="/en/project/LH11053" target="_blank" >LH11053: Control and Localization for Swarms of Low-cost Autonomous Robots</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of 2014 2014 International Conference on Unmanned Aircraft Systems (ICUAS)
ISBN
978-1-4799-2376-2
ISSN
—
e-ISSN
—
Number of pages
6
Pages from-to
611-616
Publisher name
IEEE Computer society
Place of publication
Danvers
Event location
Orlando
Event date
May 27, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—