Application research of image preprocessing based on MR (Mixed Reality) system of rail vehicles

Mixed reality technology (MR) combines the advantages of virtual reality (VR) and augmented reality (MR), by introducing the real scene information in the virtual environment. The real space is first scanned and recognized, and then the virtual scene is fully integrated into the real space. In MR (Mixed reality) system of rail vehicle, users wear mixed reality equipment, mobile video capture, after image processing, combined with multi-modal human-computer interaction knowledge base and constraint control theory, to achieve the control of virtual equipment and scene of rail vehicle and the best practical teaching effect. In this paper, by studying the method of rapid real-time preprocessing of image acquisition, it lays a solid foundation for the complex image processing of rail vehicle MR (mixed reality) system.

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Publication Details

Published
2024-10-23
DOI
https://doi.org/10.1109/iccasit62299.2024.10828021
Primary Topic
Simulation and Modeling Applications
Type
article
Field-Weighted Citation Impact
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article

Application research of image preprocessing based on MR (Mixed Reality) system of rail vehicles

Haoran Zhang, Yang Yu, Cheng Ye, Zhicheng Wei
Simulation and Modeling Applications
article

Application research of image preprocessing based on MR (Mixed Reality) system of rail vehicles

Haoran Zhang, Yang Yu, Cheng Ye, Zhicheng Wei
article en

Abstract

Mixed reality technology (MR) combines the advantages of virtual reality (VR) and augmented reality (MR), by introducing the real scene information in the virtual environment. The real space is first scanned and recognized, and then the virtual scene is fully integrated into the real space. In MR (Mixed reality) system of rail vehicle, users wear mixed reality equipment, mobile video capture, after image processing, combined with multi-modal human-computer interaction knowledge base and constraint control theory, to achieve the control of virtual equipment and scene of rail vehicle and the best practical teaching effect. In this paper, by studying the method of rapid real-time preprocessing of image acquisition, it lays a solid foundation for the complex image processing of rail vehicle MR (mixed reality) system.

Chongqing Vocational Institute of Engineering (CN), Shanghai Tunnel Engineering Rail Transit Design & Research Institute (CN)
Innovation Fund
Openalex Percentile: Top 69%
Simulation and Modeling Applications
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