Scipediacontent: Scipediacontent moved page Draft Content 798912334 to Amthor et al 2015a

2021-01-21T12:36:35Z

Scipediacontent moved page Draft Content 798912334 to Amthor et al 2015a

Scipediacontent: Created page with " == Abstract == Automated road condition estimation is a crucial basis for Advanced Driver Assistance Systems (ADAS) and even more for highly and fully automated driving func..."

2021-01-21T12:36:29Z

Created page with " == Abstract == Automated road condition estimation is a crucial basis for Advanced Driver Assistance Systems (ADAS) and even more for highly and fully automated driving func..."

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== Abstract ==

Automated road condition estimation is a crucial basis for Advanced Driver Assistance Systems (ADAS) and even more for highly and fully automated driving functions in future. In order to improve vehicle safety relevant vehicle dynamics parameters, e.g. last-point-to-brake (LPB), last-point-to-steer (LPS), or vehicle curve speed should be adapted depending on the current weather-related road surface conditions. As vision-based systems are already integrated in many of todayâs vehicles they constitute a beneficial resource for such a task. As a first contribution, we present a novel approach for reflection modeling which is a reliable and robust indicator for wet road surface conditions. We then extend our method by texture description features since local structures enable for the distinction of snow-covered and bare road surfaces. Based on a large real-life dataset we evaluate the performance of our approach and achieve results which clearly outperform other established vision-based methods while ensuring real-time capability.

== Original document ==

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

* [http://dx.doi.org/10.1007/978-3-319-24947-6_1 http://dx.doi.org/10.1007/978-3-319-24947-6_1]

* [https://doi.org/10.1007/978-3-319-24947-6_1 https://doi.org/10.1007/978-3-319-24947-6_1] under the license cc-by-nc

* [http://link.springer.com/content/pdf/10.1007/978-3-319-24947-6_1 http://link.springer.com/content/pdf/10.1007/978-3-319-24947-6_1],
: [http://dx.doi.org/10.1007/978-3-319-24947-6_1 http://dx.doi.org/10.1007/978-3-319-24947-6_1] under the license http://creativecommons.org/licenses/by-nc/2.5

* [https://link.springer.com/chapter/10.1007/978-3-319-24947-6_1 https://link.springer.com/chapter/10.1007/978-3-319-24947-6_1],
: [https://dblp.uni-trier.de/db/conf/dagm/gcpr2015.html#AmthorHD15 https://dblp.uni-trier.de/db/conf/dagm/gcpr2015.html#AmthorHD15],
: [https://rd.springer.com/chapter/10.1007/978-3-319-24947-6_1 https://rd.springer.com/chapter/10.1007/978-3-319-24947-6_1],
: [https://link.springer.com/chapter/10.1007/978-3-319-24947-6_1/fulltext.html https://link.springer.com/chapter/10.1007/978-3-319-24947-6_1/fulltext.html],
: [https://academic.microsoft.com/#/detail/2278959121 https://academic.microsoft.com/#/detail/2278959121]

← Older revision	Revision as of 12:36, 21 January 2021
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Amthor et al 2015a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 798912334 to Amthor et al 2015a

Scipediacontent: Created page with " == Abstract == Automated road condition estimation is a crucial basis for Advanced Driver Assistance Systems (ADAS) and even more for highly and fully automated driving func..."