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Position‐pose measurement of crane sway based on monocular vision
Author(s) -
Xingyu Fu,
Dan Niu,
Qi Li,
Jinbo Liu
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2019.1072
Subject(s) - computer vision , artificial intelligence , monocular vision , monocular , computer science , position (finance) , machine vision , economics , finance
The method of spatial positioning and pose measurement using computer vision have been widely used in satellite docking, motion control systems, navigation and guidance areas. A monocular vision measurement method of the telescope's spatial pose based on infrared target was proposed for the crane sway during industrial driving. An experimental system for monocular vision measurement of the crane spreader was established. Through the corresponding relationship between the geometric position of the infrared light spots and the imaging projection, the non‐linear optimisation iterative method was used to solve the spatial pose parameters that were converted into four spreader model parameters. The system was measured under static conditions and dynamic pendulum for accuracy and real‐time analysis. The experimental results show that the system can meet the real time and accuracy requirements of the spatial pose measurement of the crane sway.

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