1. Identity statement | |
Reference Type | Journal Article |
Site | plutao.sid.inpe.br |
Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identifier | 8JMKD3MGP3W/49A5GE8 |
Repository | sid.inpe.br/plutao/2023/06.15.14.34 (restricted access) |
Last Update | 2023:06.20.13.20.11 (UTC) lattes |
Metadata Repository | sid.inpe.br/plutao/2023/06.15.14.34.06 |
Metadata Last Update | 2024:01.02.17.00.35 (UTC) administrator |
DOI | 10.5540/tcam.2022.024.01.00159 |
ISSN | 2676-0029 |
Label | lattes: 5142426481528206 2 PenhaNetoCampShig:2023:DaSeTr |
Citation Key | PenhaNetoCampShig:2023:DaSeTr |
Title | Data Selection for Training the Neural Fuser Applied to Autonomous UAV Navigation |
Year | 2023 |
Access Date | 2024, May 17 |
Secondary Type | PRE PI |
Number of Files | 1 |
Size | 351 KiB |
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2. Context | |
Author | 1 Penha Neto, Gerson da 2 Campos Velho, Haroldo Fraga de 3 Shiguemori, Elcio Hideiti |
Resume Identifier | 1 2 8JMKD3MGP5W/3C9JHC3 |
Group | 1 2 COPDT-CGIP-INPE-MCTI-GOV-BR |
Affiliation | 1 Faculdade de Tecnologia (FATEC) 2 Instituto Nacional de Pesquisas Espaciais (INPE) 3 Instituto de Estudos Avanc¸ados (IEAv) |
Author e-Mail Address | 1 gerson.penha@inpe.br 2 haroldo.camposvelho@gmail.com 3 elcio@ieav.cta.br |
Journal | Trends in Computational and Applied Mathematics |
Volume | 24 |
Number | 1 |
Pages | 159-175 |
History (UTC) | 2023-06-15 14:34:06 :: lattes -> administrator :: 2023-06-19 22:18:29 :: administrator -> lattes :: 2023 2023-06-20 13:20:12 :: lattes -> administrator :: 2023 2024-01-02 17:00:35 :: administrator -> simone :: 2023 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Content Type | External Contribution |
Version Type | publisher |
Keywords | Self-configured neural network Unmanned aerial vehicle (UAV) Cross-validation k-fold |
Abstract | Over the past few years, there has been a steady increase in the use of aircraft vehicles, in particular unmanned aerial vehicles (UAV). UAV navigation is generally controlled by a human pilot. But the challenge for the scientific community is to carry out autonomous navigation. Some solutions have been proposed for the UAV autonomous navigation. Studies indicate as a solution to use data fusion and/or image processing navigation. Kalman Filter (KF) can be employed as a data fuser, but the KF has disadvantages. An alternative to the KF is based on artificial intelligence. Here, the KF is replaced by a self-configured neural network. This work investigates a way to select data for training the neural fuser, based on crossvalidation techniques. The results are compared to the data fusion done by a KF. |
Area | COMP |
Arrangement | urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGIP > Data Selection for... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | there are no files |
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4. Conditions of access and use | |
Language | pt |
Target File | MzcHRCYbQHYGM6M7tzNFMnF.pdf |
User Group | lattes |
Reader Group | administrator lattes |
Visibility | shown |
Read Permission | deny from all and allow from 150.163 |
Update Permission | not transferred |
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5. Allied materials | |
Next Higher Units | 8JMKD3MGPCW/46KUES5 |
Citing Item List | sid.inpe.br/mtc-m21/2012/07.13.14.49.40 3 sid.inpe.br/bibdigital/2022/04.03.23.11 1 |
URL (untrusted data) | https://tema.sbmac.org.br/tema |
Dissemination | PORTALCAPES |
Host Collection | dpi.inpe.br/plutao@80/2008/08.19.15.01 |
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6. Notes | |
Empty Fields | alternatejournal archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn lineage mark mirrorrepository month nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey secondarymark session shorttitle sponsor subject tertiarymark tertiarytype typeofwork |
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7. Description control | |
e-Mail (login) | simone |
update | |
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