System for deployment of groups of unmanned micro aerial vehicles in GPS-denied environments using onboard visual relative localization
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F17%3A00300945" target="_blank" >RIV/68407700:21230/17:00300945 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21730/17:00300945
Result on the web
<a href="http://link.springer.com/article/10.1007/s10514-016-9567-z" target="_blank" >http://link.springer.com/article/10.1007/s10514-016-9567-z</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s10514-016-9567-z" target="_blank" >10.1007/s10514-016-9567-z</a>
Alternative languages
Result language
angličtina
Original language name
System for deployment of groups of unmanned micro aerial vehicles in GPS-denied environments using onboard visual relative localization
Original language description
A complex system for control of swarms of micro aerial vehicles (MAV), in literature also called as unmanned aerial vehicles (UAV) or unmanned aerial systems (UAS), stabilized via an onboard visual relative localization is described in this paper. The main purpose of this work is to verify the possibility of self-stabilization of multi-MAV groups without an external global positioning system. This approach enables the deployment of MAV swarms outside laboratory conditions, and it may be considered an enabling technique for utilizing fleets of MAVs in real-world scenar- ios. The proposed visual-based stabilization approach has been designed for numerous different multi-UAV robotic applications (leader-follower UAV formation stabilization, UAVswarmstabilizationanddeploymentinsurveillancesce- narios, cooperative UAV sensory measurement) in this paper. Deployment of the system in real-world scenarios truthfully verifies its operational constraints, given by limited onboard sensing suites and processing capabilities. The performance of the presented approach (MAV control, motion planning, MAV stabilization, and trajectory planning) in multi-MAV applications has been validated by experimental results in indoor as well as in challenging outdoor environments (e.g., in windy conditions and in a former pit mine).
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Autonomous Robots
ISSN
0929-5593
e-ISSN
1573-7527
Volume of the periodical
41
Issue of the periodical within the volume
4
Country of publishing house
US - UNITED STATES
Number of pages
26
Pages from-to
919-944
UT code for WoS article
000396870000008
EID of the result in the Scopus database
2-s2.0-84964440084