EDIS-Net for Lane Markings Detection

Published: 1 July 2021| Version 1 | DOI: 10.17632/xf6hfwgstk.1
Abdullah Al Mamun


The dataset of around 15.3K image frames is created from Malaysia's different places to test the framework. For instance, the videos were taken at Melaka KL expressway, KL-KLIA, Melaka-JB expressway, Melaka-Muar, Sungai Udang, Jalan UPM and Jalan Ayer Keroh. A high-resolution mobile camera was mounted beside the steering to capture the videos of lane markings. It can record the video in different resolutions like 4k, 60/30 fps and 1080/720, 30/60/240 fps. The videos were taken in the mode of 1080, 30 fps, and converted into 1920 ×1080 image frames. Then, the image frames' dimension is changed into 224×224 to make it compatible with the framework. The dataset is classified into three categories: lane markings pattern, illumination variation, and natural climate. The lane markings pattern contains 7.9k image frames of the solid lane, double line lane, curve lane, and vehicle obstacle. Again, illumination variation includes 5k image frames of low light, dark light, and cloudy. And about 2.5k rainy image frames are arranged in the natural climate category. All the images are in jpg form.



Image Acquisition, Image Analysis