Scipediacontent: Scipediacontent moved page Draft Content 346267746 to Chen et al 2017b

2021-02-12T12:10:37Z

Scipediacontent moved page Draft Content 346267746 to Chen et al 2017b

Scipediacontent: Created page with " == Abstract == Adverse road condition is the main cause of traffic accidents. Road surface condition recognition based on video image has become a central issue. However, hy..."

2021-02-12T12:10:34Z

Created page with " == Abstract == Adverse road condition is the main cause of traffic accidents. Road surface condition recognition based on video image has become a central issue. However, hy..."

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== Abstract ==

Adverse road condition is the main cause of traffic accidents. Road surface condition recognition based on video image has become a central issue. However, hybrid road surface and road surface under different lighting environments are two crucial problems. In this paper, the road surface states are categorized into 5 types including dry, wet, snow, ice, and water. Then, according to the original image size, images are segmented; 9-dimensional color eigenvectors and 4 texture eigenvectors are extracted to construct road surface state characteristics database. Next, a recognition method of road surface state based on SVM (Support Vector Machine) is proposed. In order to improve the recognition accuracy and the universality, a grid searching algorithm and PSO (Particle Swarm Optimization) algorithm are used to optimize the kernel function factor and penalty factor of SVM. Finally, a large number of actual road surface images in different environments are tested. The results show that the method based on SVM and image segmentation is feasible. The accuracy of PSO algorithm is more than 90%, which effectively solves the problem of road surface state recognition under the condition of hybrid or different video scenes.

Document type: Article

== Full document ==
<pdf>Media:Draft_Content_346267746-beopen121-7542-document.pdf</pdf>

== Original document ==

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

* [http://downloads.hindawi.com/journals/jat/2017/6458495.pdf http://downloads.hindawi.com/journals/jat/2017/6458495.pdf] under the license https://creativecommons.org/licenses/by

* [http://dx.doi.org/10.1155/2017/6458495 http://dx.doi.org/10.1155/2017/6458495] under the license cc-by

* [http://downloads.hindawi.com/journals/jat/2017/6458495.pdf http://downloads.hindawi.com/journals/jat/2017/6458495.pdf],
: [http://downloads.hindawi.com/journals/jat/2017/6458495.xml http://downloads.hindawi.com/journals/jat/2017/6458495.xml],
: [http://dx.doi.org/10.1155/2017/6458495 http://dx.doi.org/10.1155/2017/6458495] under the license http://creativecommons.org/licenses/by/4.0

* [http://dx.doi.org/10.1155/2017/6458495 http://dx.doi.org/10.1155/2017/6458495],
: [https://doaj.org/toc/0197-6729 https://doaj.org/toc/0197-6729],
: [https://doaj.org/toc/2042-3195 https://doaj.org/toc/2042-3195] under the license http://creativecommons.org/licenses/by/4.0/

* [https://www.hindawi.com/journals/jat/2017/6458495 https://www.hindawi.com/journals/jat/2017/6458495],
: [http://downloads.hindawi.com/journals/jat/2017/6458495.pdf http://downloads.hindawi.com/journals/jat/2017/6458495.pdf],
: [https://core.ac.uk/display/88193356 https://core.ac.uk/display/88193356],
: [https://academic.microsoft.com/#/detail/2733302282 https://academic.microsoft.com/#/detail/2733302282]

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Chen et al 2017b - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 346267746 to Chen et al 2017b

Scipediacontent: Created page with " == Abstract == Adverse road condition is the main cause of traffic accidents. Road surface condition recognition based on video image has become a central issue. However, hy..."