Collado et al 2006a - Revision history

Scipediacontent at 15:27, 21 January 2021

2021-01-21T15:27:46Z

Scipediacontent: Scipediacontent moved page Draft Content 159437040 to Collado et al 2006a

2020-09-29T07:55:16Z

Scipediacontent moved page Draft Content 159437040 to Collado et al 2006a

Scipediacontent: Created page with " == Abstract == Proceeding of: 8th International Conference, ACIVS 2006, Antwerp, Belgium, September 18-21, 2006 This paper presents a Road Detection and Classification algor..."

2020-09-29T07:55:13Z

Created page with " == Abstract == Proceeding of: 8th International Conference, ACIVS 2006, Antwerp, Belgium, September 18-21, 2006 This paper presents a Road Detection and Classification algor..."

New page

== Abstract ==

Proceeding of: 8th International Conference, ACIVS 2006, Antwerp, Belgium, September 18-21, 2006 This paper presents a Road Detection and Classification algorithm for Driver Assistance Systems (DAS), which tracks several road lanes and identifies the type of lane boundaries. The algorithm uses an edge filter to extract the longitudinal road markings to which a straight lane model is fitted. Next, the type of right and left lane boundaries (continuous, broken or merge line) is identified using a Fourier analysis. Adjacent lanes are searched when broken or merge lines are detected. Although the knowledge of the line type is essential for a robust DAS, it has been seldom considered in previous works. This knowledge helps to guide the search for other lanes, and it is the basis to identify the type of road (one-way, two-way or freeway), as well as to tell the difference between allowed and forbidden maneuvers, such as crossing a continuous line. Publicado

Document type: Part of book or chapter of book

== Full document ==
<pdf>Media:Draft_Content_159437040-beopen9567-4147-document.pdf</pdf>

== Original document ==

The different versions of the original document can be found in:

* [http://hdl.handle.net/10016/7108 http://hdl.handle.net/10016/7108]

* [https://e-archivo.uc3m.es/bitstream/10016/7108/3/adaptative_collado_ACIVS_2006_ps.pdf https://e-archivo.uc3m.es/bitstream/10016/7108/3/adaptative_collado_ACIVS_2006_ps.pdf]

* [http://link.springer.com/content/pdf/10.1007/11864349_105 http://link.springer.com/content/pdf/10.1007/11864349_105],[http://dx.doi.org/10.1007/11864349_105 http://dx.doi.org/10.1007/11864349_105]

* [https://link.springer.com/chapter/10.1007/11864349_105 https://link.springer.com/chapter/10.1007/11864349_105],[https://core.ac.uk/display/29400753 https://core.ac.uk/display/29400753],[http://portal.uc3m.es/portal/page/portal/dpto_ing_sistemas_automatica/investigacion/lab_sist_inteligentes_old/miembros/jose_maria_armingol/acivs06.pdf http://portal.uc3m.es/portal/page/portal/dpto_ing_sistemas_automatica/investigacion/lab_sist_inteligentes_old/miembros/jose_maria_armingol/acivs06.pdf],[https://dl.acm.org/citation.cfm?id=2092641 https://dl.acm.org/citation.cfm?id=2092641],[https://doi.org/10.1007/11864349_105 https://doi.org/10.1007/11864349_105],[https://rd.springer.com/chapter/10.1007/11864349_105 https://rd.springer.com/chapter/10.1007/11864349_105],[https://academic.microsoft.com/#/detail/1631218178 https://academic.microsoft.com/#/detail/1631218178]

* [ ]

@@ Line 3: / Line 3: @@
 Proceeding of: 8th International Conference, ACIVS 2006, Antwerp, Belgium, September 18-21, 2006 This paper presents a Road Detection and Classification algorithm for Driver Assistance Systems (DAS), which tracks several road lanes and identifies the type of lane boundaries. The algorithm uses an edge filter to extract the longitudinal road markings to which a straight lane model is fitted. Next, the type of right and left lane boundaries (continuous, broken or merge line) is identified using a Fourier analysis. Adjacent lanes are searched when broken or merge lines are detected. Although the knowledge of the line type is essential for a robust DAS, it has been seldom considered in previous works. This knowledge helps to guide the search for other lanes, and it is the basis to identify the type of road (one-way, two-way or freeway), as well as to tell the difference between allowed and forbidden maneuvers, such as crossing a continuous line. Publicado
@@ Line 18: / Line 13: @@
 * [https://e-archivo.uc3m.es/bitstream/10016/7108/3/adaptative_collado_ACIVS_2006_ps.pdf https://e-archivo.uc3m.es/bitstream/10016/7108/3/adaptative_collado_ACIVS_2006_ps.pdf]
-* [http://link.springer.com/content/pdf/10.1007/11864349_105 http://link.springer.com/content/pdf/10.1007/11864349_105],[http://dx.doi.org/10.1007/11864349_105 http://dx.doi.org/10.1007/11864349_105]
+* [http://link.springer.com/content/pdf/10.1007/11864349_105 http://link.springer.com/content/pdf/10.1007/11864349_105],
-* [https://link.springer.com/chapter/10.1007/11864349_105 https://link.springer.com/chapter/10.1007/11864349_105],[https://core.ac.uk/display/29400753 https://core.ac.uk/display/29400753],[http://portal.uc3m.es/portal/page/portal/dpto_ing_sistemas_automatica/investigacion/lab_sist_inteligentes_old/miembros/jose_maria_armingol/acivs06.pdf http://portal.uc3m.es/portal/page/portal/dpto_ing_sistemas_automatica/investigacion/lab_sist_inteligentes_old/miembros/jose_maria_armingol/acivs06.pdf],[https://dl.acm.org/citation.cfm?id=2092641 https://dl.acm.org/citation.cfm?id=2092641],[https://doi.org/10.1007/11864349_105 https://doi.org/10.1007/11864349_105],[https://rd.springer.com/chapter/10.1007/11864349_105 https://rd.springer.com/chapter/10.1007/11864349_105],[https://academic.microsoft.com/#/detail/1631218178 https://academic.microsoft.com/#/detail/1631218178]
+* [https://dblp.uni-trier.de/db/conf/acivs/acivs2006.html#ColladoHEA06 https://dblp.uni-trier.de/db/conf/acivs/acivs2006.html#ColladoHEA06],
 * [ ]

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