@inproceedings{8bb86228a97345d69487e1257b27f2b4,
title = "RS-Fusion: A novel virtual reality localization method based on RTK and visual SLAM",
abstract = "Virtual reality technology is a new multidisciplinary integrated technology, in which localization technology is the key technology to determine the user experience, and is the core of VR technology. RTK and visual slam are two common localization technologies, however they are limited by satellite conditions and rely heavily on feature point extraction and matching effects, which will affect the accuracy of localization process. So as to achieve high-precision virtual reality spatial localization, this paper proposed a novel virtual reality localization method called RS-fusion, which combined the RTK carrier phase difference technology and the visual SLAM technology by Kalman fusion. In addition, the gain matrix is used to calculate the spatial displacement state to meet the accuracy requirements of virtual reality and augmented reality localization in indoor and outdoor environment, and to obtain a more matching virtual reality fusion effect and simulation mapping. Experiment results show the robustness of the method and RS-fusion can realize the simultaneous localization of cameras in real space and virtual space.",
keywords = "Kalman filter, RTK technology, virtual reality localization, visual SLAM",
author = "Zhitian Li and Weimin Zhang and Ye Tian and Fangxing Li",
note = "Publisher Copyright: {\textcopyright} 2023 SPIE.; 2022 International Conference on Computer Graphics, Artificial Intelligence, and Data Processing, ICCAID 2022 ; Conference date: 23-12-2022 Through 25-12-2022",
year = "2023",
doi = "10.1117/12.2674691",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Ruishi Liang and Jing Wang",
booktitle = "International Conference on Computer Graphics, Artificial Intelligence, and Data Processing, ICCAID 2022",
address = "United States",
}