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1. Identity statement
Reference TypeJournal Article
Siteplutao.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W/3TEPN2M
Repositorysid.inpe.br/plutao/2019/06.10.16.19.58   (restricted access)
Last Update2019:06.13.13.55.12 (UTC) simone
Metadata Repositorysid.inpe.br/plutao/2019/06.10.16.19.59
Metadata Last Update2020:02.10.16.58.04 (UTC) simone
DOI10.18605/2175-7275/cereus.v11n1p184-194
ISSN2175-7275
Labellattes: 5142426481528206 3 RenatoGarciaBragaHideFrag:2019:OdViNa
Citation KeyBragaShigCamp:2019:OdViNa
TitleOdometria Visual para a Navegação Autônoma de VANT
Year2019
Access Date2024, May 02
Type of Workjournal article
Secondary TypePRE PN
Number of Files1
Size534 KiB
2. Context
Author1 Braga, José Renato Garcia
2 Shiguemori, Elcio Hideiti
3 Campos Velho, Haroldo Fraga de
Resume Identifier1
2
3 8JMKD3MGP5W/3C9JHC3
Group1 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
2
3 LABAC-COCTE-INPE-MCTIC-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2
3 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 jgarciabraga@gmail.com
2 elcio@ieav.cta.br
3 haroldo.camposvelho@inpe.br
JournalRevista Cereus
Volume11
Number1
Pages184-194
Secondary MarkB2_SAÚDE_COLETIVA B3_ADMINISTRAÇÃO,_CIÊNCIAS_CONTÁBEIS_E_TURISMO C_PLANEJAMENTO_URBANO_E_REGIONAL_/_DEMOGRAFIA C_INTERDISCIPLINAR C_CIÊNCIAS_SOCIAIS_APLICADAS_I C_CIÊNCIAS_AMBIENTAIS
History (UTC)2019-06-13 13:55:13 :: lattes -> administrator :: 2019
2020-01-06 11:35:23 :: administrator -> simone :: 2019
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsUnmanned Aircraft Vehicle (UAV)
Visual odometry
UAV autonomous navigation
AbstractThe use of Unmanned Aircraft Vehicle (UAV) has being grown with many applications such as: ecological monitoring, precision agriculture, search and rescue operations, and engineering projects. An important objective of cientific community is to perform the UAV autonomous navigation. There are several strategies to develop an autonomous flight system, including the use of an inertial sensor combined with GPS, computer vision and visual odometry. The latter scheme is the focus of this article. Visual Odometry is applied and tested on the UAV RMAX helicopter. In order to implement the OV positioning system, the SURF and RANSAC algorithm were used as descriptors of the points of interest and post-processing to remove the false points of correspondence, respectively. The visual odometry method presents a cumulative error, but in the test performed, the maximum positioning UAV error was below 20 meters, which is acceptable when compared with the GPS error.
AreaSRE
Arrangement 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Odometria Visual para...
Arrangement 2urlib.net > Produção anterior à 2021 > LABAC > Odometria Visual para...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
Languagept
Target File2697-8857-1-PB.pdf
User Grouplattes
Reader Groupadministrator
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Visibilityshown
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/3ER446E
8JMKD3MGPCW/3ESGTTP
Citing Item Listsid.inpe.br/mtc-m21/2012/07.13.14.49.40 2
sid.inpe.br/bibdigital/2013/09.13.21.11 1
Host Collectiondpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notes
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