Positioning of Large Objects by Computer Vision Methods

This article presents the structure of a measuring complex that allows precise measurements of the position of objects relative to a stationary base using computer vision methods based on the data from optical meters. The principle of operation of the measuring complex is described. The procedure for using and the features of adjusting the elements is determined. The operation of the measuring complex is illustrated by an example from the maritime transport industry, i.e., by the solution of the problem of monitoring the position of an autonomous marine large-tonnage vessel relative to its berth when performing loading, unloading, and mooring operations. Methods of using the measuring complex in road, air, and rail transport are also described.

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Publication Details

Journal
Journal of Computer and Systems Sciences International
Published
2024-10-01
DOI
https://doi.org/10.1134/s106423072470059x
Primary Topic
Video Surveillance and Tracking Methods
Type
article
Field-Weighted Citation Impact
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article

Positioning of Large Objects by Computer Vision Methods

V. V. Lopatina
Journal of Computer and Systems Sciences International
Video Surveillance and Tracking Methods
article

Positioning of Large Objects by Computer Vision Methods

V. V. Lopatina
article en

Abstract

This article presents the structure of a measuring complex that allows precise measurements of the position of objects relative to a stationary base using computer vision methods based on the data from optical meters. The principle of operation of the measuring complex is described. The procedure for using and the features of adjusting the elements is determined. The operation of the measuring complex is illustrated by an example from the maritime transport industry, i.e., by the solution of the problem of monitoring the position of an autonomous marine large-tonnage vessel relative to its berth when performing loading, unloading, and mooring operations. Methods of using the measuring complex in road, air, and rail transport are also described.

Journal of Computer and Systems Sciences InternationalVol. 63(5)
Russian Academy of Sciences (RU)
Openalex Percentile: Top 74%
Video Surveillance and Tracking Methods
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