Intelligent real-time lane detection for vehicles in urban streets

2012 ◽  
Author(s):  
Gao Zhi-feng ◽  
Dong Ming-jie ◽  
Shi Yong-sheng ◽  
Wang Bo
Keyword(s):  
Real Time ◽  
Lane Detection ◽  
Urban Streets

Near real-time ego-lane detection in highway and urban streets

2016 ◽  
Author(s):  
Tin Trung Duong ◽  
Cuong Cao Pham ◽  
Tai Huu-Phuong Tran ◽  
Tien Phuoc Nguyen ◽  
Jae Wook Jeon
Keyword(s):  
Real Time ◽  
Lane Detection ◽  
Urban Streets

scholarly journals Real-Time Lane Detection on Suburban Streets Using Visual Cue Integration

10.5772/58248 ◽  
2014 ◽  
Vol 11 (4) ◽  
pp. 61 ◽  
Author(s):  
Shehan Fernando ◽  
Lanka Udawatta ◽  
Ben Horan ◽  
Pubudu Pathirana
Keyword(s):  
Real Time ◽  
Lane Detection ◽  
Cue Integration ◽  
Visual Cue

A Novel Real-Time Lighting-Invariant Lane Departure Warning System

2018 ◽  
pp. 231-252
Author(s):  
Yassin Kortli ◽  
Mehrez Marzougui ◽  
Mohamed Atri
Keyword(s):  
Real Time ◽  
Traffic Accidents ◽  
Essential Element ◽  
Warning System ◽  
Lane Detection ◽  
Accuracy Evaluation ◽  
Lane Departure Warning ◽  
Lighting Conditions ◽  
Lane Departure ◽  
Driving Assistance

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.

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