Robust Lane Detection Algorithm for Autonomous Trucks in Container Terminals
Container terminal automation offers many potential benefits, such as increased productivity, reduced cost, and improved safety. Autonomous trucks can lead to more efficient container transport. A novel lane detection method is proposed using score-based generative modeling through stochastic differ...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
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MDPI AG
2023-03-01
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Series: | Journal of Marine Science and Engineering |
Subjects: | |
Online Access: | https://www.mdpi.com/2077-1312/11/4/731 |
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author | Ngo Quang Vinh Hwan-Seong Kim Le Ngoc Bao Long Sam-Sang You |
author_facet | Ngo Quang Vinh Hwan-Seong Kim Le Ngoc Bao Long Sam-Sang You |
author_sort | Ngo Quang Vinh |
collection | DOAJ |
description | Container terminal automation offers many potential benefits, such as increased productivity, reduced cost, and improved safety. Autonomous trucks can lead to more efficient container transport. A novel lane detection method is proposed using score-based generative modeling through stochastic differential equations for image-to-image translation. Image processing techniques are combined with Density-Based Spatial Clustering of Applications with Noise (DBSCAN) and Genetic Algorithm (GA) to ensure fast and accurate lane positioning. A robust lane detection method can deal with complicated detection problems in realistic road scenarios. The proposed method is validated by a dataset collected from the port terminals under different environmental conditions; in addition, the robustness of the lane detection method with stochastic noise is tested. |
first_indexed | 2024-03-11T04:51:50Z |
format | Article |
id | doaj.art-3ba11517f06440f7843dfdfa8dafa31f |
institution | Directory Open Access Journal |
issn | 2077-1312 |
language | English |
last_indexed | 2024-03-11T04:51:50Z |
publishDate | 2023-03-01 |
publisher | MDPI AG |
record_format | Article |
series | Journal of Marine Science and Engineering |
spelling | doaj.art-3ba11517f06440f7843dfdfa8dafa31f2023-11-17T19:55:14ZengMDPI AGJournal of Marine Science and Engineering2077-13122023-03-0111473110.3390/jmse11040731Robust Lane Detection Algorithm for Autonomous Trucks in Container TerminalsNgo Quang Vinh0Hwan-Seong Kim1Le Ngoc Bao Long2Sam-Sang You3Division of Logistics, Korea Maritime and Ocean University, Busan 49112, Republic of KoreaDivision of Logistics, Korea Maritime and Ocean University, Busan 49112, Republic of KoreaDivision of Logistics, Korea Maritime and Ocean University, Busan 49112, Republic of KoreaDivision of Mechanical Engineering, Korea Maritime and Ocean University, Busan 49112, Republic of KoreaContainer terminal automation offers many potential benefits, such as increased productivity, reduced cost, and improved safety. Autonomous trucks can lead to more efficient container transport. A novel lane detection method is proposed using score-based generative modeling through stochastic differential equations for image-to-image translation. Image processing techniques are combined with Density-Based Spatial Clustering of Applications with Noise (DBSCAN) and Genetic Algorithm (GA) to ensure fast and accurate lane positioning. A robust lane detection method can deal with complicated detection problems in realistic road scenarios. The proposed method is validated by a dataset collected from the port terminals under different environmental conditions; in addition, the robustness of the lane detection method with stochastic noise is tested.https://www.mdpi.com/2077-1312/11/4/731container terminallane detectionimage processingstochastic differential equationdeep learning |
spellingShingle | Ngo Quang Vinh Hwan-Seong Kim Le Ngoc Bao Long Sam-Sang You Robust Lane Detection Algorithm for Autonomous Trucks in Container Terminals Journal of Marine Science and Engineering container terminal lane detection image processing stochastic differential equation deep learning |
title | Robust Lane Detection Algorithm for Autonomous Trucks in Container Terminals |
title_full | Robust Lane Detection Algorithm for Autonomous Trucks in Container Terminals |
title_fullStr | Robust Lane Detection Algorithm for Autonomous Trucks in Container Terminals |
title_full_unstemmed | Robust Lane Detection Algorithm for Autonomous Trucks in Container Terminals |
title_short | Robust Lane Detection Algorithm for Autonomous Trucks in Container Terminals |
title_sort | robust lane detection algorithm for autonomous trucks in container terminals |
topic | container terminal lane detection image processing stochastic differential equation deep learning |
url | https://www.mdpi.com/2077-1312/11/4/731 |
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