Virtual road condition prediction through license plates in 3D simulation

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F16%3A50005013" target="_blank" >RIV/62690094:18450/16:50005013 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-45243-2_25" target="_blank" >http://dx.doi.org/10.1007/978-3-319-45243-2_25</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-45243-2_25" target="_blank" >10.1007/978-3-319-45243-2_25</a>

Result language
angličtina
Original language name
Virtual road condition prediction through license plates in 3D simulation
Original language description
Predicting the road conditions lie curves, slopes, hills, helps drivers react faster to avoid possible collisions in hypovigilance and besides, this kind of driver assistance system is more crucial for intelligent vehicles. Even though there are many radar, wifi, infrared systems and devices, what we propose in this paper is a monocular license plate segmentation to foresee the road ahead while cruising behind a blinding vehicle. License plates in the precalibrated images from 3D simulation are segmented and analyzed to identify the front car's angle of repose. Therefore the angles of the road are estimated frame by frame with calculated distances for prediction of the virtual road.
Czech name
—
Czech description
—

Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Computational collective intelligence (ICCCI 2016)
ISBN
978-3-319-45242-5
ISSN
0302-9743
e-ISSN
—
Number of pages
10
Pages from-to
269-278
Publisher name
Springer
Place of publication
Berlin
Event location
Chalkidiki, Greece
Event date
Sep 28, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000387734300025

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