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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPBW34M/3EDKHJL
Repositorysid.inpe.br/sibgrapi/2013/07.05.14.27
Last Update2013:07.05.14.27.43 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2013/07.05.14.27.43
Metadata Last Update2022:06.14.00.07.44 (UTC) administrator
DOI10.1109/SIBGRAPI.2013.21
Citation KeyPaulaJung:2013:ReDeCl
TitleReal-time detection and classification of road lane markings
FormatOn-line.
Year2013
Access Date2024, May 04
Number of Files1
Size1046 KiB
2. Context
Author1 Paula, Maurício Braga de
2 Jung, Claudio Rosito
Affiliation1 Institute of Informatics - Federal University of Rio Grande do Sul and Mathematics and Statistics Department - Federal University of Pelotas
2 Institute of Informatics - Federal University of Rio Grande do Sul
EditorBoyer, Kim
Hirata, Nina
Nedel, Luciana
Silva, Claudio
e-Mail Addressmbpaula@inf.ufrgs.br
Conference NameConference on Graphics, Patterns and Images, 26 (SIBGRAPI)
Conference LocationArequipa, Peru
Date5-8 Aug. 2013
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2013-07-05 14:27:43 :: mbpaula@inf.ufrgs.br -> administrator ::
2022-06-14 00:07:44 :: administrator -> :: 2013
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordslane detection
lane markings
onboard vehicular cameras
driver assistance system
AbstractThis paper presents a method for detection and recognition of road lane markings using an uncalibrated onboard camera. Initially, lane boundaries are detected based on a linear- parabolic model. Then, we build a simple model to represent pixels related to the pavement, and explore this model to estimate pixels related to lane markings. A set of features is computed based on the detected lane markings, and a cascade of binary classifiers is adopted to distinguish five types of markings: dashed, dashed-solid, solid-dashed, single-solid and double-solid. Experimental results show that the proposed method presents good classification results under a variety of situations (shadows, varying illumination, etc.).
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2013 > Real-time detection and...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Real-time detection and...
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPBW34M/3EDKHJL
zipped data URLhttp://urlib.net/zip/8JMKD3MGPBW34M/3EDKHJL
Languageen
Target File114712_camera_ready-PID2846723.pdf
User Groupmbpaula@inf.ufrgs.br
Visibilityshown
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPEW34M/46SLB4P
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.15.04.02 7
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage 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 volume


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