Development of a Real-Time Lane Departure Warning System for Driver Assistance

Author(s):  
N. Balaji ◽  
K. Babulu ◽  
M. Hema
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 764-765 ◽  
pp. 1361-1365
Author(s):  
Cheng Yu Chiu ◽  
Chih Han Chang ◽  
Hsin Jung Lin ◽  
Tsong Liang Huang

This paper addressed a new lane departure warning system (LDWS). We used the side-view cameras to promote Advanced Driver Assistance Systems (ADAS). A left side-view camera detected the right lane next to vehicle, and a right side-view camera detected the right lane. Two cameras processed in their algorithm and gave warning message, independently and separately. Our algorithm combined those warning messages to analyze environment situations. At the end, we used the LUXGEN MPV to test and showed results of verifications and tests.


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 ◽  
...  

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