Localization Fusion for Aerial Vehicles in Partially GNSS Denied Environments
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F19%3A00336150" target="_blank" >RIV/68407700:21230/19:00336150 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-030-14984-0_20" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-030-14984-0_20</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Localization Fusion for Aerial Vehicles in Partially GNSS Denied Environments
Original language description
In this paper, we report on early results of the experimental deployment of localization techniques for a multi-rotor Micro Aerial Vehicle (MAV). In particular, we focus on deployment scenarios where the Global Navigation Satellite System (GNSS) does not provide a reliable signal, and thus it is not desirable to rely solely on the GNSS. Therefore, we consider recent advancements in the visual localization, and we employ an onboard RGB-D camera to develop a robust and reliable solution for the MAV localization in partially GNSS denied operational environments. We consider a localization method based on Kalman filter for data fusion of the vision-based localization with the signal from the GNSS. Based on the reported experimental results, the proposed solution supports the localization of the MAV for the temporarily unavailable GNSS, but also improves the position estimation provided by the incremental vision-based localization system while it can run using onboard computational resources of the small vehicle.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
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
<a href="/en/project/TH03010362" target="_blank" >TH03010362: Hybrid navigation system for autonomous vehicles in environment with denied GNSS services</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Modelling and Simulation for Autonomous Systems
ISBN
978-3-030-14983-3
ISSN
0302-9743
e-ISSN
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Number of pages
12
Pages from-to
251-262
Publisher name
Springer
Place of publication
Basel
Event location
Praha
Event date
Oct 17, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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