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Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Identifier8JMKD3MGPAW/3PFC2R2
Repositorysid.inpe.br/sibgrapi/2017/08.18.20.42
Last Update2017:08.18.20.42.29 administrator
Metadatasid.inpe.br/sibgrapi/2017/08.18.20.42.29
Metadata Last Update2020:02.19.02.01.25 administrator
Citation KeyPereiraNegLufIlhSus:2017:MoViOd
TitleMonocular Visual Odometry With Cyclic Estimation
FormatOn-line
Year2017
Access Date2021, Jan. 26
Number of Files1
Size803 KiB
Context area
Author1 Pereira, Fabio Irigon
2 Negreiros, Marcelo
3 Luft, Joel
4 Ilha, Gustavo
5 Susin, Altamiro
Affiliation1 PGMICRO-UFRGS
2 DELET-UFRGS
3 PPGEE-UFRGS
4 PPGEE UFRGS
5 PGMICRO-UFRGS
EditorTorchelsen, Rafael Piccin
Nascimento, Erickson Rangel do
Panozzo, Daniele
Liu, Zicheng
Farias, Mylène
Viera, Thales
Sacht, Leonardo
Ferreira, Nivan
Comba, João Luiz Dihl
Hirata, Nina
Schiavon Porto, Marcelo
Vital, Creto
Pagot, Christian Azambuja
Petronetto, Fabiano
Clua, Esteban
Cardeal, Flávio
e-Mail Addressfabio.irigon@gmail.com
Conference NameConference on Graphics, Patterns and Images, 30 (SIBGRAPI)
Conference LocationNiterói, RJ
DateOct. 17-20, 2017
Book TitleProceedings
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Tertiary TypeFull Paper
History2017-08-18 20:42:29 :: fabio.irigon@gmail.com -> administrator ::
2020-02-19 02:01:25 :: administrator -> :: 2017
Content and structure area
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
KeywordsVisual Odometry, Visual SLAM, Computer Vision.
AbstractMonocular Visual Odometry (MVO) estimates the camera position and orientation, based on images generated by a single camera. In this paper a new sparse MVO system for camera equipped vehicles is proposed. Three view cyclic Perspective-n-Point with adaptive threshold is used for camera pose estimation, perspective image transformations are used to improve tracking, and a multi-attribute cost function selects ground features for scale recovery. Results using the KITTI dataset show that the proposed system achieves 1.29% average translation error and average rotation precision of 0.0029 degrees per meter.
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data URLhttp://urlib.net/rep/8JMKD3MGPAW/3PFC2R2
zipped data URLhttp://urlib.net/zip/8JMKD3MGPAW/3PFC2R2
Languageen
Target FilePID4957061.pdf
User Groupfabio.irigon@gmail.com
Visibilityshown
Update Permissionnot transferred
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Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPAW/3PJT9LS
8JMKD3MGPAW/3PKCC58
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
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