@inproceedings{029bcf5232de41f1ba3bda2d8ba1f7c2,
title = "Real-time implementation of vision-based lane detection and tracking",
abstract = "This paper presents a real-time implementation on lane detection and tracking system in order to localize lane boundaries and estimate a linear-parabolic lane model. It is realized using TMS320DM642 DSP board. Video frame is first captured with CCD camera and stored in video port buffer. Next, input image is split into sky and road region with horizon localization. Lane analysis is applied on the road region to remove road pixels. Only lane markings are the interests for the lane detection process. Once lane boundaries are located, the possible edge pixels are scanned to continuously obtain the lane model. Linear-parabolic model is used to construct the geometry of the lane. The model parameters are updated with Kalman filtering. Video sequences are tested to verify the performance of the system and it has good performance.",
keywords = "Driver assistance system, Hardware implementation, Intelligent vehicle, Lane detection, Lane tracking",
author = "Lim, {King Hann} and Seng, {Kah Phooi} and {Le Ngo}, {Anh Cat} and Ang, {Li Minn}",
year = "2009",
doi = "10.1109/IHMSC.2009.214",
language = "English",
isbn = "9780769537528",
series = "2009 International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2009",
pages = "364--367",
booktitle = "2009 International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2009",
note = "2009 International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2009 ; Conference date: 26-08-2009 Through 27-08-2009",
}