https://madison-proceedings.com/index.php/aetr/issue/feed 2024-04-19T10:45:29+08:00 Open Journal Systems <p>The proceedings series <strong>Advances in Engineering Technology Research</strong> aims to publish proceedings from conferences on the theories and methods in fields of engineering and their applications. <a href="https://www.atlantis-press.com/proceedings/series/aer/aims-and-scope">Read full Aims &amp; Scope</a></p> <p>All proceedings in this series are <strong>open access</strong>, i.e. the articles published in them are immediately and permanently free to read, download, copy &amp; distribute. Each volume is published under the <a href="https://creativecommons.org/licenses/by-nc/4.0/"><strong>CC BY-NC 4.0</strong></a> user license which defines the permitted 3rd-party reuse of its articles. The online publication of each proceedings is sponsored by the conference organizers and hence no additional publication fees are required.</p> <p>Should you wish to publish a proceedings in this series, then please request a proceedings proposal form by sending an email to<strong> </strong><strong>aetr@</strong><strong>madison-publishing.com</strong>. Your proposal will be evaluated by a Series Editor(s) and/or a scientific evaluation committee consisting of senior researchers in the relevant field. This is to ensure the integrity and quality of the proceedings that we publish.</p> https://madison-proceedings.com/index.php/aetr/article/view/2416 2024-04-19T10:45:29+08:00 Lijuan Zeng weizhi@163.com Bangqian Ao weizhi@163.com Qing Li weizhi@163.com

<p>In real-time vision-based autonomous driving, lane-lines are difficult to identify due to shadows, road disrepair, reflection or&nbsp;other disturbances, as well as obstacles dynamic occlusion. In this paper, region of interest (ROI) is selected first. An algorithm based on inverse perspective mapping (IPM) is proposed to transform graphic images into flat images, after the operation of gray processing and image enhancement, binarization processing and secondary image enhancement are carried out for these&nbsp;images. Through the pixel statistics of image columns, The characteristic curves are extracted and&nbsp;lane-lines are fitted. At the same time, Kalman filter algorithm is proposed to predict the lane-line which are&nbsp;discontinuity, this improves the robustness and stability of the lane-line detection&nbsp;effectively. Finally, Experiments have been conducted on different scenes, the&nbsp;results show that the&nbsp;proposed algorithm own&nbsp;good&nbsp;detection efficiency.</p>

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