RS-fusion: a novel virtual reality localization method based on RTK and visual SLAM

Zhitian Li; Weimin Zhang; Ye Tian; Fangxing Li

doi:10.1117/12.2674691

23 May 2023 RS-fusion: a novel virtual reality localization method based on RTK and visual SLAM

Zhitian Li, Weimin Zhang, Ye Tian, Fangxing Li

Proceedings Volume 12604, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022); 126040J (2023) https://doi.org/10.1117/12.2674691
Event: 2nd International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022), 2022, Guangzhou, China

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.

Citation Download Citation

Zhitian Li, Weimin Zhang, Ye Tian, and Fangxing Li "RS-fusion: a novel virtual reality localization method based on RTK and visual SLAM", Proc. SPIE 12604, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022), 126040J (23 May 2023); https://doi.org/10.1117/12.2674691

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