APPLICATION OF COMPUTER VISION METHODS FOR AUTONOMOUS CONTAINER LOADING PROCESS
Published: 12 Sep 2020
Abstract: Increasing worldwide container cargo flows encourage the introduction of new autonomous automation technologies at intermodal container loading terminals. One of the main problems of container unloading process form the ship using quay crane and Automated Guided Vehicles (AGV) is the positioning of the container on AGV which is still human-carried at most container terminals worldwide leading to a longer loading process. One of the areas that could improve the efficiency of container transportation is the visual inspection of containers during loading process. This paper investigates the possibilities to integrate computer vision methods in solving the problem of automated container positioning in container autonomous loading process. The paper proposes an automated container loading model that combines image acquisition, segmentation, recognition, distance measurement and control processes. The computer vision algorithms applied in the work are implemented in an experimental model and the results of the studies show that the proposed system could be integrated into the overall autonomous container loading process.
Keywords: computer vision, container loading, autonomous container terminal, positioning
Cite this article: Darius Drungilas, Mindaugas Kurmis, Zydrunas Lukosius, Audrius Senulis, Arunas Andziulis. APPLICATION OF COMPUTER VISION METHODS FOR AUTONOMOUS CONTAINER LOADING PROCESS. Journal of International Scientific Publications: Materials, Methods & Technologies 14, 203-212 (2020). https://www.scientific-publications.net/en/article/1002062/
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