m (Scipediacontent moved page Draft Content 965408936 to Bernini et al 2013a)
 
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== Abstract ==
 
== Abstract ==
  
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To extend the functionalities of Advanced Driver Assistance Systems (ADAS) and have a more accurate control on the parameters of sensors mounted on an intelligent vehicle, a tool that can classify the scenarios which the vehicle moves in, is needed. This article presents a comparison of three classification techniques (PCA, ANN and SVM) to obtain a fast and robust scene classifier based only on images. The systems presented in this paper have been trained on three different categories of traffic scenarios: urban, highway, and rural, on a total of more than 23 hours of driving in different countries.
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To extend the functionalities of Advanced Driver Assistance Systems (ADAS) and have a more accurate control on the parameters of sensors mounted on an intelligent vehicle, a tool that can classify the scenarios which the vehicle moves in, is needed.
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Document type: Part of book or chapter of book
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== Full document ==
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<pdf>Media:Draft_Content_965408936-beopen433-1758-document.pdf</pdf>
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* [https://link.springer.com/content/pdf/10.1007%2F978-3-642-41181-6_59.pdf https://link.springer.com/content/pdf/10.1007%2F978-3-642-41181-6_59.pdf]
 
* [https://link.springer.com/content/pdf/10.1007%2F978-3-642-41181-6_59.pdf https://link.springer.com/content/pdf/10.1007%2F978-3-642-41181-6_59.pdf]
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* [http://link.springer.com/content/pdf/10.1007/978-3-642-41181-6_59 http://link.springer.com/content/pdf/10.1007/978-3-642-41181-6_59],
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: [http://dx.doi.org/10.1007/978-3-642-41181-6_59 http://dx.doi.org/10.1007/978-3-642-41181-6_59]
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* [https://link.springer.com/chapter/10.1007/978-3-642-41181-6_59 https://link.springer.com/chapter/10.1007/978-3-642-41181-6_59],
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: [http://www.ce.unipr.it/people/bertozzi/pap/cr/iciap2013.sceneclass.pdf http://www.ce.unipr.it/people/bertozzi/pap/cr/iciap2013.sceneclass.pdf],
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: [https://www.scipedia.com/public/Bernini_et_al_2013a https://www.scipedia.com/public/Bernini_et_al_2013a],
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: [https://dblp.uni-trier.de/db/conf/iciap/iciap2013-1.html#BerniniBDM13 https://dblp.uni-trier.de/db/conf/iciap/iciap2013-1.html#BerniniBDM13],
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: [https://rd.springer.com/chapter/10.1007/978-3-642-41181-6_59 https://rd.springer.com/chapter/10.1007/978-3-642-41181-6_59],
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: [https://academic.microsoft.com/#/detail/111749235 https://academic.microsoft.com/#/detail/111749235]

Latest revision as of 15:23, 21 January 2021

Abstract

To extend the functionalities of Advanced Driver Assistance Systems (ADAS) and have a more accurate control on the parameters of sensors mounted on an intelligent vehicle, a tool that can classify the scenarios which the vehicle moves in, is needed.


Original document

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

http://dx.doi.org/10.1007/978-3-642-41181-6_59
http://www.ce.unipr.it/people/bertozzi/pap/cr/iciap2013.sceneclass.pdf,
https://www.scipedia.com/public/Bernini_et_al_2013a,
https://dblp.uni-trier.de/db/conf/iciap/iciap2013-1.html#BerniniBDM13,
https://rd.springer.com/chapter/10.1007/978-3-642-41181-6_59,
https://academic.microsoft.com/#/detail/111749235
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Published on 01/01/2013

Volume 2013, 2013
DOI: 10.1007/978-3-642-41181-6_59
Licence: CC BY-NC-SA license

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