A Robust, Real-Time and Calibration-Free Lane Departure Warning System

A real-time and calibration-free lane departure warning system algorithm is proposed. The pre-processing stage of the lane departure algorithm is carried out using Gaussian pyramid to smooth the image and reduce its dimensions, which decreases the unnecessary details in the image. A lane detection s...

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Bibliographic Details
Published in:IEEE International Symposium on Circuits and Systems proceedings pp. 1 - 4
Main Authors: Gamal, Islam, Badawy, Abdulrahman, Al-Habal, Awab M.W, Adawy, Mohammed E.K, Khalil, Keroles K., El-Moursy, Magdy A., Khattab, Ahmed
Format: Conference Proceeding
Language:English
Published: IEEE 01.05.2019
Subjects:
Automobiles
Driver Assistance System (DAS)
Edge Drawing (ED)
Image edge detection
Image segmentation
Lane Departure Warning System (LDWS)
Lane departure warning systems
Line Segment Detection (LSD)
Prediction algorithms
Real-time systems
Region of Interest (ROI)
ISBN:9781728103976, 1728103975
ISSN:2158-1525
Online Access:Get full text
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Summary:A real-time and calibration-free lane departure warning system algorithm is proposed. The pre-processing stage of the lane departure algorithm is carried out using Gaussian pyramid to smooth the image and reduce its dimensions, which decreases the unnecessary details in the image. A lane detection stage is then developed based on the Edge Drawing Lines (EDLines) algorithm that is a real-time line segment detector, which has false detection control. The reference-counting technique is used to track the lane boundaries and predict the missing ones. Experimental results show that the proposed algorithm has accuracy of 99.25% and average processing time of 80 fps (frame per second). The proposed algorithm is efficient to be used in the self-driving systems in the Original Equipment Manufacturers (OEMs) cars.
ISBN:9781728103976
1728103975
ISSN:2158-1525
DOI:10.1109/ISCAS.2019.8702360