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Efficient Road Lane Marking Detection with Deep Learning
[article]
2018
arXiv
pre-print
Lane mark detection is an important element in the road scene analysis for Advanced Driver Assistant System (ADAS). Limited by the onboard computing power, it is still a challenge to reduce system complexity and maintain high accuracy at the same time. In this paper, we propose a Lane Marking Detector (LMD) using a deep convolutional neural network to extract robust lane marking features. To improve its performance with a target of lower complexity, the dilated convolution is adopted. A
arXiv:1809.03994v1
fatcat:7g2szbdc5jd75maah5fs4vbbq4