Real-time implementation of vision-based lane detection and tracking

King Hann Lim, Kah Phooi Seng, Anh Cat Le Ngo, Li Minn Ang

Research output: Book chapter/Published conference paperConference paper

12 Citations (Scopus)

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.

Original languageEnglish
Title of host publication2009 International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2009
Pages364-367
Number of pages4
Volume2
DOIs
Publication statusPublished - 01 Dec 2009
Event2009 International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2009 - Hangzhou, Zhejiang, China
Duration: 26 Aug 200927 Aug 2009

Conference

Conference2009 International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2009
CountryChina
CityHangzhou, Zhejiang
Period26/08/0927/08/09

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  • Cite this

    Lim, K. H., Seng, K. P., Le Ngo, A. C., & Ang, L. M. (2009). Real-time implementation of vision-based lane detection and tracking. In 2009 International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2009 (Vol. 2, pp. 364-367). [5335965] https://doi.org/10.1109/IHMSC.2009.214