Identity statement area
Reference TypeConference Paper (Conference Proceedings)
Last Update2005: (UTC) administrator
Metadata Last Update2020: (UTC) administrator
Citation KeyJungKelb:2005:ImLiMo
TitleAn improved linear-parabolic model for lane following and curve detection
Access Date2021, Dec. 07
Number of Files1
Size418 KiB
Context area
Author1 Jung, Claudio Rosito
2 Kelber, Christian Roberto
Affiliation1 UNISINOS
EditorRodrigues, Maria Andréia Formico
Frery, Alejandro César
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 18 (SIBGRAPI)
Conference LocationNatal
Date9-12 Oct. 2005
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2005-07-15 19:40:30 :: crjung -> banon ::
2005-07-18 14:46:45 :: banon -> crjung ::
2008-07-17 14:11:01 :: crjung -> banon ::
2008-08-26 15:17:03 :: banon -> administrator ::
2009-08-13 20:37:56 :: administrator -> banon ::
2010-08-28 20:01:19 :: banon -> administrator ::
2020-02-19 03:19:20 :: administrator -> :: 2005
Content and structure area
Is the master or a copy?is the master
Content Stagecompleted
Content TypeExternal Contribution
Keywordslane detection
lane following
linear-parabolic model
curve detection
AbstractIn this paper, we propose a new model for lane tracking and curve detection. We use a linear-parabolic model for each lane boundary, and apply constraints to link both lane boundaries based on the expected geometry of the road. The parabolic part of the model, which fits the far field, is then used to analyze the geometry of the road ahead (straight, right curve or left curve), with applications in driver's assistance systems and road inspection. Experimental results indicate that introduced geometric constraints result in a more consistent fit if compared to the individual fitting of each lane boundary, and that the parabolic part of the model can be effectively used to keep the driver informed about the geometry of the road in front of him/her..
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Target Filejungcr_lane.pdf
User Groupcrjung
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