@inproceedings{a8d63e77a4754bc4b79d6b40d4461da6,
title = "A robust lane detection and verification method for intelligent vehicles",
abstract = "Robust lane detection is important to the lane departure warning (LDW) for driver assistant system. In this study, lane marks are extracted by searching the lane model parameters in a special defined parameter space without thresholding. The proposed method is based on the lateral inhibition property of human vision system to clear up the edges of lane marks in variant weather conditions; moreover, the lane detected results are verified by the proposed conjugate Gaussian model such that there are no false alarm on the edges of shadow and other vehicles. The proposed lane detection method can gain precise lane-mark information for a lane departure warning system.",
keywords = "Intelligent vehicle, Lane departure warning, Lane detection",
author = "Lin, {Chun Wei} and Tseng, {Din Chang} and Wang, {Han Ying}",
note = "Funding Information: Acknowledgement. The present research was supported by the PNII-RU-TE-2014-4-2640 UEFISCDI grant “eTrajectory – students{\textquoteright} professional trajectory”. Funding Information: FSPAC e-Learning portal of the Faculty of Political, Administrative and Communication Sciences (http://fspac.ubbcluj.ro/moodle/) supported by European Union funds. Akin to the BIS portal it is also based on the Moodle platform, with multiple functionalities to support educational processes for its own ODL students and for its extensions from other cities in Transylvania.; null ; Conference date: 21-11-2009 Through 22-11-2009",
year = "2009",
doi = "10.1109/IITA.2009.178",
language = "???core.languages.en_GB???",
isbn = "9780769538594",
series = "3rd International Symposium on Intelligent Information Technology Application, IITA 2009",
pages = "521--524",
booktitle = "3rd International Symposium on Intelligent Information Technology Application, IITA 2009",
}