Computational Intelligence-based Real-time Lane Departure Warning System Using Gabor Features

Author(s):  
Ricky Sutopo ◽  
Teo Ting Yau ◽  
Joanne Mun-Yee Lim ◽  
KokSheik Wong
2009 ◽  
Vol 58 (4) ◽  
pp. 2089-2094 ◽  
Author(s):  
Pei-Yung Hsiao ◽  
Chun-Wei Yeh ◽  
Shih-Shinh Huang ◽  
Li-Chen Fu

Author(s):  
Yassin Kortli ◽  
Mehrez Marzougui ◽  
Mohamed Atri

In recent years, in order to minimize traffic accidents, developing driving assistance systems for security has attracted much attention. Lane detection is an essential element of avoiding accidents and enhancing driving security. In this chapter, the authors implement a novel real-time lighting-invariant lane departure warning system. The proposed methodology works well in different lighting conditions, such as in poor conditions. The experimental results and accuracy evaluation indicates the efficiency of the system proposed for lane detection. The correct detection rate averages 97% and exceeds 95.6% in poor conditions. Furthermore, the entire process has only 29 ms per frame.


2015 ◽  
Vol 42 (4) ◽  
pp. 1816-1824 ◽  
Author(s):  
Jongin Son ◽  
Hunjae Yoo ◽  
Sanghoon Kim ◽  
Kwanghoon Sohn

Author(s):  
Islam Gamal ◽  
Abdulrahman Badawy ◽  
Awab M.W Al-Habal ◽  
Mohammed E.K Adawy ◽  
Keroles K. Khalil ◽  
...  

Author(s):  
Xiangjing An ◽  
Erke Shang ◽  
Jinze Song ◽  
Jian Li ◽  
Hangen He

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