DocumentCode :
1821789
Title :
An Efficient Method for Lane-Mark Extraction in Complex Conditions
Author :
Chang, Chin-Yu ; Lin, Chang-Hong
Author_Institution :
Dept. of Electron. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei, Taiwan
fYear :
2012
fDate :
4-7 Sept. 2012
Firstpage :
330
Lastpage :
336
Abstract :
Lane-mark detection is one of the most important parts in intelligent transportation systems (ITS). In this paper, we propose a lane-mark detection system which can overcome a lot of difficult situations, such as bad weather conditions, shadow effect, or road sign on the road. After the region of interest (ROI) of a road image is determined, we apply the Canny edge detector to investigate boundaries. In order to remove the noise edges, we divide the boundary image into sub-images to calculate local edge-orientation of each block and remove the edge with abnormal orientation. In this step, we produce a table to store the blocks which satisfy the assumption of lane-mark edge-orientation and use this information as an adaptive ROI of lane-marks. We propose the edge-pair scanning method to verify the edges which belong to lane-marks by using the relationship of adjacent edges of lane-marks and the width between these two edges. In the local adaptive threshold finding method, we also divide the image into sub-images and apply the feature that road lane-marks are always painted with high contrast colors with the road surface. Then, we use multi-adaptive thresholding method for each block. The system can work robustly under the situation that different parts of the image have different contrast for lane-marks. After eliminate the noise edges, we apply Hough Transform to fit the lane-marks as straight line models. The experiment results show that the proposed method can detect the lane-marks in real-time for various different environments.
Keywords :
Hough transforms; automated highways; edge detection; feature extraction; image classification; image colour analysis; image segmentation; video surveillance; Canny edge detector; Hough transform; ROI; boundary image classification; contrast color; edge pair scanning method; feature extraction; intelligent transportation system; lane mark edge orientation; lane mark extraction; multiadaptive thresholding method; region of interest; road image; road surface; straight line model; Gray-scale; Image color analysis; Image edge detection; Mathematical model; Noise; Roads; Transforms; Edge-Pair Scanning Method; Hough Transform; Local Edge-Orientation; Multi-Adaptive Thresholding Method;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Ubiquitous Intelligence & Computing and 9th International Conference on Autonomic & Trusted Computing (UIC/ATC), 2012 9th International Conference on
Conference_Location :
Fukuoka
Print_ISBN :
978-1-4673-3084-8
Type :
conf
DOI :
10.1109/UIC-ATC.2012.67
Filename :
6332016
Link To Document :
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