Scipediacontent: Scipediacontent moved page Draft Content 887130049 to Foucher et al 2011a

2021-02-03T15:36:11Z

Scipediacontent moved page Draft Content 887130049 to Foucher et al 2011a

Scipediacontent: Created page with " == Abstract == While road lane markings detection was extensively studied, in particular for intelligent vehicle applications, the detection and recognition of all kind of m..."

2021-02-03T15:36:07Z

Created page with " == Abstract == While road lane markings detection was extensively studied, in particular for intelligent vehicle applications, the detection and recognition of all kind of m..."

New page

== Abstract ==

While road lane markings detection was extensively studied, in particular for intelligent vehicle applications, the detection and recognition of all kind of marking such as arrows, crosswalks, zebras, words, pictograms, continuous and discontinuous lane markings was drastically less studied. However, it has many potential applications in the design of advanced driver assistance systems, as well as for asset management along itineraries. An algorithm is proposed which is based on the following processing steps: marking pixel extraction, detection using connected components before Inverse Perspective Mapping and recognition based on the comparison with a single pattern or with repetitive rectangular patterns. The proposed algorithm is able to detect and recognize repetitive markings (such as crosswalks) as well as single patterns (such as arrows). We believe that the proposed algorithm can be extended easily to solve the problem of the identification of all types of markings.

== Original document ==

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

* [https://hal.archives-ouvertes.fr/hal-00850783 https://hal.archives-ouvertes.fr/hal-00850783]

* [http://xplorestaging.ieee.org/ielx5/6069628/6082792/06082840.pdf?arnumber=6082840 http://xplorestaging.ieee.org/ielx5/6069628/6082792/06082840.pdf?arnumber=6082840],
: [http://dx.doi.org/10.1109/itsc.2011.6082840 http://dx.doi.org/10.1109/itsc.2011.6082840]

* [https://dblp.uni-trier.de/db/conf/itsc/itsc2011.html#FoucherSTCN11 https://dblp.uni-trier.de/db/conf/itsc/itsc2011.html#FoucherSTCN11],
: [http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000006082840 http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000006082840],
: [https://ieeexplore.ieee.org/document/6082840 https://ieeexplore.ieee.org/document/6082840],
: [https://trid.trb.org/view/1354531 https://trid.trb.org/view/1354531],
: [https://doi.org/10.1109/ITSC.2011.6082840 https://doi.org/10.1109/ITSC.2011.6082840],
: [http://ieeexplore.ieee.org/iel5/6069628/6082792/06082840.pdf http://ieeexplore.ieee.org/iel5/6069628/6082792/06082840.pdf],
: [https://hal.archives-ouvertes.fr/hal-00850783 https://hal.archives-ouvertes.fr/hal-00850783],
: [https://academic.microsoft.com/#/detail/2068918247 https://academic.microsoft.com/#/detail/2068918247]

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Foucher et al 2011a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 887130049 to Foucher et al 2011a

Scipediacontent: Created page with " == Abstract == While road lane markings detection was extensively studied, in particular for intelligent vehicle applications, the detection and recognition of all kind of m..."