Real-time lane departure warning system based on principal component analysis of grayscale distribution and risk evaluation model

Author:

Zhang Wei-wei,Song Xiao-lin,Zhang Gui-xiang

Publisher

Springer Science and Business Media LLC

Subject

Metals and Alloys,General Engineering

Reference21 articles.

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3. STEPHAN S, SARATH K, ALEN A, GAMINI D. Robust lane detection in urban environments [C]// Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems. San Diego, CA, USA: IEEE Press, 2007: 123–128.

4. MOHAMED A. Real time detection of lane markers in urban streets [C]// IEEE Intelligent Vehicles Symposium. Eindhoven, The Netherlands: IEEE Press, 2008: 7–12.

5. HSIAO P, YEH C, HUANG S, FU L. A portable vision-based real-time lane departure warning system: day and night [J]. IEEE Transactions on Vehicular Technology, 2009, 58(4): 2089–2094.

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