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1. Identity statement
Reference TypeBook Section
Sitemtc-m21c.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34R/425FA3P
Repositorysid.inpe.br/mtc-m21c/2020/03.11.13.11   (restricted access)
Last Update2020:03.11.13.11.09 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m21c/2020/03.11.13.11.09
Metadata Last Update2022:01.04.01.35.01 (UTC) administrator
Secondary KeyINPE--/
ISBN978-3-030-34409-2
Citation KeyBragaCampShig:2020:LiNoPa
TitleLidar and non-extensive particle filter for UAV autonomous navigation
Year2020
Access Date2024, May 17
Secondary TypePRE LI
Number of Files1
Size317 KiB
2. Context
Author1 Braga, José Renato Garcia
2 Campos Velho, Haroldo Fraga de
3 Shiguemori, Elcio H.
Resume Identifier1
2 8JMKD3MGP5W/3C9JHC3
Group1 DIDSR-CGOBT-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)
3 Instituto de Estudos Avançados (IEAv)
Author e-Mail Address1 renato.braga@inpe.br
2 haroldo.camposvelho@inpe.br
3 elcio@ieav.cta.br
EditorSantiago, O. L.
Corona, C. C.
Silva Neto, A. J.
Verdegay, J. L.
Book TitleComputational intelligence in emerging technologies for engineering applications
PublisherSpringer
Pages227-238
History (UTC)2020-03-11 13:11:38 :: simone -> administrator :: 2020
2022-01-04 01:35:01 :: administrator -> simone :: 2020
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsUnmanned aerial vehicle (UAV) · Autonomous navigation · LiDAR data · Non-extensive particle filter · Data fusion
AbstractUnmanned aerial vehicle (UAV) is a technology employed for several applications nowadays. One important UAV research topic is the autonomous navigation (AN). The standard procedure for AN is to fuse the signals from an inertial navigation system (INS) and from a global navigation satellite system (GNSS). Our approach to perform the autonomous navigation uses a computer vision system, instead of GNSS signal, associated to the visual odometry. The two techniques applied to estimate the UAV position are combined by a non-extensive particle filter. However, the development of a computer vision system for estimating the UAV position in a situation of flight over water-covered areas and flight in low light conditions is a challenge. Our approach uses images from an active sensor called light detection and ranging (LiDAR) to allow the flight in such conditions.
AreaSRE
Arrangement 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Lidar and non-extensive...
Arrangement 2urlib.net > BDMCI > Fonds > Produção anterior à 2021 > LABAC > Lidar and non-extensive...
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4. Conditions of access and use
Languageen
Target Filebraga_lidar.pdf
User Groupsimone
Reader Groupadministrator
simone
Visibilityshown
Read Permissiondeny from all
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 3
sid.inpe.br/bibdigital/2013/09.22.23.14 3
DisseminationBNDEPOSITOLEGAL
Host Collectionurlib.net/www/2017/11.22.19.04
6. Notes
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7. Description control
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