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1. Identity statement
Reference TypeJournal Article
Sitemtc-m21c.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34R/3UJFAA8
Repositorysid.inpe.br/mtc-m21c/2019/12.16.10.31   (restricted access)
Last Update2020:02.10.17.04.23 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m21c/2019/12.16.10.31.43
Metadata Last Update2020:02.10.17.04.23 (UTC) simone
Secondary KeyINPE--PRE/
Citation KeyPenhaNetoCampShig:2019:UAAuNa
TitleUAV autonomous navigation by data fusion and FPGA
Year2019
Month05-07 nov.
Access Date2024, May 17
Number of Files1
Size425 KiB
2. Context
Author1 Penha Neto, Gerson da
2 Campos Velho, Haroldo Fraga de
3 Shiguemori, Elcio Hieiti
Resume Identifier1
2 8JMKD3MGP5W/3C9JHC3
Group1 CAP-COMP-SESPG-INPE-MCTIC-GOV-BR
2 LABAC-COCTE-INPE-MCTIC-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 gerson.penha@inpe.br
2 haroldo.camposvelho@inpe.br
JournalMecánica Computacional
Volume37
Number16
Pages609-618
History (UTC)2019-12-16 10:31:52 :: simone -> administrator :: 2019
2020-02-10 17:03:05 :: 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 aerial vehicles
FPGA: Field Programmable Gate Array
autonomous navigation
self-configuring neural network
AbstractCurrently, the use of unmanned aerial vehicles (UAV), also known as drones, is increasing. The applications are in several areas such as engineering projects, agriculture, livestock, monitoring, and rescue. One of the main reasons to use UAV is its lower cost when compared to manned aircraft. The flight of a UAV can be done remotely or autonomously. For the autonomous navigation, a Global Navigation Satellite System (GNSS) is usually applied. However, a GNSS system can suffer natural or human interference, becoming the research for alternatives strategies a hot topic in this field. An approach to carry out the autonomous navigation without use of GNSS signal is to estimate the UAV position by using data fusion combining different sensors. A solution for autonomous navigation is presented applying inertial sensor and image processing, both are employed to estimate the drone position. The data fusion process is carried out by a computational intelligence procedure. Two self-configuring ANNs are employed here: for image edge extraction, and an operator for data fusion. A hybrid computer architecture is employed to implement the solution with standard CPU and FPGA (Field Programmable Gate Array).
AreaCOMP
Arrangement 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > LABAC > UAV autonomous navigation...
Arrangement 2urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > CAP > UAV autonomous navigation...
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source Directory Contentthere are no files
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4. Conditions of access and use
Languageen
Target Filepenha_uav.pdf
User Groupsimone
Reader Groupadministrator
simone
Visibilityshown
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Mirror Repositoryurlib.net/www/2017/11.22.19.04.03
Next Higher Units8JMKD3MGPCW/3ESGTTP
8JMKD3MGPCW/3F2PHGS
Citing Item Listsid.inpe.br/mtc-m21/2012/07.13.14.49.40 3
sid.inpe.br/bibdigital/2013/10.12.22.16 2
sid.inpe.br/bibdigital/2013/09.22.23.14 2
DisseminationWEBSCI
Host Collectionurlib.net/www/2017/11.22.19.04
6. Notes
Empty Fieldsalternatejournal archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel doi e-mailaddress format isbn issn label lineage mark nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarymark secondarytype session shorttitle sponsor subject tertiarymark tertiarytype typeofwork url
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