@article{ref1,
title="Sensor fusion-based lane detection for LKS+ACC system",
journal="International journal of automotive technology",
year="2009",
author="Jung, Harald and Lee, Yookyong and Kang, Heejoon and Kim, Jaeyeun",
volume="10",
number="2",
pages="219-228",
abstract="Abstract  This paper discusses the market trends and advantages of a safety system integrating LKS (Lane Keeping System) and ACC (Adaptive Cruise Control), referred to as the LKS+ACC system, and proposes a method utilizing the range data from ACC for the sake of lane detection. The overall structure of lane detection is the same as the conventional method using monocular vision: EDF (Edge Distribution Function)-based initialization, sub-ROI (Region Of Interest) for left/right and distance-based layers, steerable filter-based feature extraction, and model fitting in each sub-ROI. The proposed method adds only the system for  confining lane detection ROI to free space that is established by range data. Experimental results indicate that such a simple adaptive ROI can overcome occlusion of lane markings and disturbance of neighboring vehicles.<p />",
language="",
issn="1229-9138",
doi="10.1007/s12239-009-0026-0",
url="http://dx.doi.org/10.1007/s12239-009-0026-0"
}