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1. Identity statement
Reference TypeBook Section
Siteplutao.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
IdentifierJ8LNKAN8RW/38JED2T
Repositorydpi.inpe.br/plutao/2010/11.11.17.27.07   (restricted access)
Last Update2018:08.29.16.03.52 (UTC) marciana
Metadata Repositorydpi.inpe.br/plutao/2010/11.11.17.27.08
Metadata Last Update2018:08.29.16.03.52 (UTC) marciana
Secondary KeyINPE--/
DOI10.1007/978-3-642-16138-4_22
ISBN978-3-642-16137-7
978-3-642-16138-4
Labellattes: 8148486577673949 1 MedeirosSilv:2010:DiAlFi
Citation KeyMedeirosSilv:2010:DiAlFi
TitleA Dijkstra Algorithm for Fixed-Wing UAV Motion Planning Based on Terrain Elevation
Year2010
Access Date2024, May 08
Secondary TypePRE LI
Number of Files1
Size424 KiB
2. Context
Author1 Medeiros, Felipe Leonardo Lôbo
2 Silva, José Demísio Simões da
Group1 LAC-CTE-INPE-MCT-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 felipe@ieav.cta.br
EditorAntônio Carlos da Rocha Costa
Rosa Maria Vicari
Tonidandel, Flavio
e-Mail Addressfelipe@ieav.cta.br
Book TitleAdvances in Artificial Intelligence - SBIA 2010
PublisherSpringer Berlin
CityHeidelberg
Volume6404
Pages213-222
Series TitleLecture Notes in Computer Science, 2011, Volume 6404
History (UTC)2010-12-06 14:15:19 :: lattes -> ricardo :: 2010
2010-12-07 11:40:32 :: ricardo -> administrator :: 2010
2010-12-08 15:12:51 :: administrator -> marciana :: 2010
2012-01-26 12:46:37 :: marciana -> administrator :: 2010
2018-06-05 00:12:19 :: administrator -> marciana :: 2010
2018-08-29 16:03:52 :: marciana -> lattes :: 2010
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsFixed-wing UAV
Motion Planning
Dijkstra Algorithm
Digital Elevation Model
Grid-based Local Search
AbstractThe automatic motion or trajectory planning is essential for several tasks that lead to the autonomy increase of Unmanned Aerial Vehicles (UAVs). This work proposes a Dijkstra algorithm for fixed-wing UAVs trajectory planning. The navigation environments are represented by sets of visibility graphs constructed through the terrain elevations of these environments. Digital elevation models are used to represent the terrain elevations. A heuristics to verify if a trajectory is collision-free is also proposed in this work. This heuristics is a method of grid-based local search which presents linear computational time O(n p ), where n p is the number of verification steps. This heuristics is compared with another method for collision verification. Results are presented in this work.
AreaCOMP
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > LABAC > A Dijkstra Algorithm...
doc Directory Contentaccess
source Directory Contentthere are no files
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4. Conditions of access and use
Languageen
Target Filemedeiros_dijkstra.pdf
User Grouplattes
lattes
administrator
marciana
Visibilityshown
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/3ESGTTP
URL (untrusted data)http://dx.doi.org/10.1007/978-3-642-16138-4_22
Host Collectiondpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notes
Empty Fieldsarchivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination edition format issn lineage mark mirrorrepository nextedition notes numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup resumeid rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle sponsor subject tertiarymark tertiarytype translator
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