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A Novel Interaction Protocol of a Multiagent System for the Study of Alternative Decisions Read chapter Read first chapter

2016 | OriginalPaper | Chapter

Virtual Road Condition Prediction Through License Plates in 3D Simulation

Authors : Orcan Alpar, Ondrej Krejcar

Published in: Computational Collective Intelligence

Publisher: Springer International Publishing

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Abstract

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.

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Metadata
Title
Virtual Road Condition Prediction Through License Plates in 3D Simulation
Authors
Orcan Alpar
Ondrej Krejcar
Copyright Year
2016
Book
Computational Collective Intelligence

Print ISBN: 978-3-319-45242-5

Electronic ISBN: 978-3-319-45243-2

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-45243-2_25

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