Close
Metadata

1. Identity statement
Reference TypeBook Section
Sitemtc-m21c.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34R/43T9DC2
Repositorysid.inpe.br/mtc-m21c/2021/01.05.14.33   (restricted access)
Last Update2021:01.05.14.33.08 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m21c/2021/01.05.14.33.08
Metadata Last Update2022:04.03.23.13.58 (UTC) administrator
Secondary KeyINPE--/
DOI10.1007/978-3-030-53669-5_16
ISBN978-303053668-8
Citation KeyPenhaNetoCampShig:2021:UAAuNa
TitleUAV autonomous navigation by image processing with uncertainty trajectory estimation
Year2021
Access Date2024, May 09
Secondary TypePRE LI
Number of Files1
Size2341 KiB
2. Context
Author1 Penha Neto, Gerson da
2 Campos Velho, Haroldo Fraga de
3 Shiguemori, Elcio Hideiti
Resume Identifier1
2 8JMKD3MGP5W/3C9JHC3
Group1
2 COPDT-CGIP-INPE-MCTI-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto de Estudos Avançados (IEAv)
Author e-Mail Address1 gerson.penha@inpe.br
2 haroldo.camposvelho@inpe.br
3 elcio@ieav.cta.br
EditorCursi, J. E. S.
Book TitleProceedings of the 5th International Symposium on Uncertainty Quantification and Stochastic Modelling
PublisherSpringer
Pages211-221
History (UTC)2021-01-05 14:34:37 :: simone -> administrator :: 2021
2022-04-03 23:13:58 :: administrator -> simone :: 2021
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsUnmanned Aerial Vehicles
Autonomous navigation
Image processing
Self-configuring neural network
Uncertainty quantification
AbstractUnmanned Aerial Vehicles (UAV) is a technology under strong development, with application on several fields. For the UAV autonomous navigation, a standard scheme is to use signal from a Global Navigation System by Satellite (GNSS) onboard. However, such signal can suffer natural or human interference. Our approach applies image processing procedure for the UAV positioning: image edge extraction and correlation between drone image and georeferenced satellite image. A data fusion is also applied, for combining the inertial sensor data and positioning by image. The data fusion is performed by using neural network. The output from the data fusion neural network is the correction for the UAV trajectory. Here, the variance of the trajectory error is also predicted to quantify the uncertainty.
AreaCOMP
Arrangementurlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGIP > UAV autonomous navigation...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
agreement.html 05/01/2021 11:33 1.8 KiB 
4. Conditions of access and use
Languageen
Target Filepenha_uav.pdf
User Groupsimone
Visibilityshown
Read Permissiondeny from all and allow from 150.163
5. Allied materials
Next Higher Units8JMKD3MGPCW/46KUES5
DisseminationBNDEPOSITOLEGAL
Host Collectionurlib.net/www/2017/11.22.19.04
6. Notes
Empty Fieldsarchivingpolicy archivist callnumber city copyholder copyright creatorhistory descriptionlevel documentstage e-mailaddress edition format issn label lineage mark mirrorrepository nextedition notes numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup rightsholder schedulinginformation secondarydate secondarymark serieseditor seriestitle session shorttitle sponsor subject tertiarymark tertiarytype translator url volume
7. Description control
e-Mail (login)simone
update 


Close