https://www.scipedia.com/wd/index.php?action=history&feed=atom&title=Pierre_et_al_2015aPierre et al 2015a - Revision history2026-04-26T01:38:04ZRevision history for this page on the wikiMediaWiki 1.27.0-wmf.10https://www.scipedia.com/wd/index.php?title=Pierre_et_al_2015a&diff=207776&oldid=prevScipediacontent: Scipediacontent moved page Draft Content 172216512 to Pierre et al 2015a2021-02-03T19:10:54Z<p>Scipediacontent moved page <a href="/public/Draft_Content_172216512" class="mw-redirect" title="Draft Content 172216512">Draft Content 172216512</a> to <a href="/public/Pierre_et_al_2015a" title="Pierre et al 2015a">Pierre et al 2015a</a></p>
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</td></tr></table>Scipediacontenthttps://www.scipedia.com/wd/index.php?title=Pierre_et_al_2015a&diff=207775&oldid=prevScipediacontent: Created page with " == Abstract == dvanced Driver Assistance Systems (ADAS) based on video camera are increasingly invasive in todays car. However, if most of these systems work properly under..."2021-02-03T19:10:51Z<p>Created page with " == Abstract == dvanced Driver Assistance Systems (ADAS) based on video camera are increasingly invasive in todays car. However, if most of these systems work properly under..."</p>
<p><b>New page</b></p><div><br />
== Abstract ==<br />
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dvanced Driver Assistance Systems (ADAS) based on video camera are increasingly invasive in todays car. However, if most of these systems work properly under clear weather, their performances drastically fall in case of adverse weather or bad lighting conditions. In this paper we study how to predict the road state: wet or dry. We simulate realistic embedded images relying on scene's physical data: road's Bidirectional Reflectance Distribution Function (BRDF), vehicle direction, sun position and daylight model of the sky. These data are used to produce a database of 640 synthetic images of wet and dry road scene, under different conditions (weather, date, direction). This database allows us to evaluate the relationship between conditions and road state, in order to determine from a given condition if the road state could be predictable. Finally, an optimization method is used to estimate road surfaces' BRDF parameters.<br />
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== Original document ==<br />
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The different versions of the original document can be found in:<br />
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* [http://dx.doi.org/10.1109/ivs.2015.7225749 http://dx.doi.org/10.1109/ivs.2015.7225749]<br />
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* [https://hal.archives-ouvertes.fr/hal-02193740 https://hal.archives-ouvertes.fr/hal-02193740]<br />
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* [http://xplorestaging.ieee.org/ielx7/7180136/7225648/07225749.pdf?arnumber=7225749 http://xplorestaging.ieee.org/ielx7/7180136/7225648/07225749.pdf?arnumber=7225749],<br />
: [http://dx.doi.org/10.1109/ivs.2015.7225749 http://dx.doi.org/10.1109/ivs.2015.7225749]<br />
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* [https://dblp.uni-trier.de/db/conf/ivs/ivs2015.html#GimonetCS15 https://dblp.uni-trier.de/db/conf/ivs/ivs2015.html#GimonetCS15],<br />
: [https://hal.archives-ouvertes.fr/hal-02193740 https://hal.archives-ouvertes.fr/hal-02193740],<br />
: [https://academic.microsoft.com/#/detail/1604398873 https://academic.microsoft.com/#/detail/1604398873]</div>Scipediacontent