DocumentCode :
1689143
Title :
An improved lane departure method for Advanced Driver Assistance System
Author :
Gaikwad, Vijay ; Lokhande, Shashikant
Author_Institution :
Dept. of Electron., Vishwakarma Inst. of Technol., Pune, India
fYear :
2012
Firstpage :
1
Lastpage :
5
Abstract :
This paper proposes an improved lane departure algorithm based on region of interest (ROI) segmentation. ROI of a test image is extracted first. Based on statistical parameters a departure warning is generated. Hough transform is used to detect the lines in the segmented ROI. Distance between Hough origin and lane-line midpoint is estimated. Based on the difference between these distances, a lane departure decision is made. A typical road may have multiple lanes which may cause difficulty in generating appropriate departure decision with good accuracy and in short time. Experiments show that the proposed algorithm eliminates this problem. It is simple to implement and robust, and can detect the lane markings accurately and quickly.
Keywords :
Hough transforms; driver information systems; feature extraction; image segmentation; object detection; statistical analysis; Hough transform; ROI segmentation; advanced driver assistance system; improved lane departure method; lane departure decision; lane-line midpoint; line detection; region-of-interest segmentation; statistical parameter; test image extraction; Alarm systems; Histograms; Image edge detection; Image segmentation; Roads; Transforms; Vehicles; Hough transform; ROI; lane departure; lane detection; segmentation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing, Communication and Applications (ICCCA), 2012 International Conference on
Conference_Location :
Dindigul, Tamilnadu
Print_ISBN :
978-1-4673-0270-8
Type :
conf
DOI :
10.1109/ICCCA.2012.6179148
Filename :
6179148
Link To Document :
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