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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPBW34M/3JU3QFP
Repositorysid.inpe.br/sibgrapi/2015/07.28.13.56
Last Update2015:07.28.13.56.04 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2015/07.28.13.56.04
Metadata Last Update2022:05.18.22.21.01 (UTC) administrator
Citation KeySantanaMaiaFiguSouz:2015:AnDeAl
TitleAnálise de Desempenho de Algoritmos Detectores de Keypoints para um Sistema de Navegação Visual de Robôs Baseados em Smartphones
FormatOn-line
Year2015
Access Date2024, May 06
Number of Files1
Size1823 KiB
2. Context
Author1 Santana, Bruno A. S.
2 Maia, Rosiery da S.
3 Figuerola, Wilfredo B.
4 Souza, Anderson A. S.
Affiliation1 UERN
2 UERN
3 UERN
4 UERN
EditorVieira, Thales Miranda de Almeida
Mello, Vinicius Moreira
e-Mail Addressand.abner@gmail.com
Conference NameConference on Graphics, Patterns and Images, 28 (SIBGRAPI)
Conference LocationSalvador, BA, Brazil
Date26-29 Aug. 2015
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Book TitleProceedings
Tertiary TypeUndergraduate Work
History (UTC)2015-07-28 13:56:04 :: and.abner@gmail.com -> administrator ::
2022-05-18 22:21:01 :: administrator -> :: 2015
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
KeywordsComputer Vision
Visual Navigation System
CellBots
AbstractSmartphones have emerged in recent research, as a possible alternative platform for acquisition, processing and control of mobile robotic systems (Cellbots). Having a smartphone as a mobile robot command center became attractive because it can collect data from cameras, GPS, accelerometer and other sensors, besides their communications capabilities. By acquiring and processing the images from the smartphone cameras, for example, it is possible to collect useful data for the implementation of a robotic visual navigation system with visual odometry, visual mapping and object recognition. This paper presents a study of three major keypoints detection algorithms to implement a visual navigation system for a CellBot. A comparative study from the implementations and testing of these algorithms on a smartphone is presented at the end of this work, in order to facilitate the choice of the most appropriate algorithm to be used in the navigation system.
Arrangementurlib.net > SDLA > Fonds > SIBGRAPI 2015 > Análise de Desempenho...
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPBW34M/3JU3QFP
zipped data URLhttp://urlib.net/zip/8JMKD3MGPBW34M/3JU3QFP
Languagept
Target Filewuw2015.pdf
User Groupadministrator
and.abner@gmail.com
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPBW34M/3K24PF8
Citing Item Listsid.inpe.br/sibgrapi/2015/08.03.22.49 8
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination doi edition electronicmailaddress group isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume


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