rs融合:一种基于RTK和视觉SLAM的虚拟现实定位新方法

Zhitian Li, Weimin Zhang, Ye Tian, Fangxing Li
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引用次数: 0

摘要

虚拟现实技术是一门新兴的多学科集成技术,其中定位技术是决定用户体验的关键技术,是VR技术的核心。RTK和视觉slam是两种常用的定位技术,但它们受卫星条件的限制,严重依赖于特征点的提取和匹配效果,会影响定位过程的准确性。为了实现高精度的虚拟现实空间定位,本文提出了一种新的虚拟现实定位方法RS-fusion,该方法通过卡尔曼融合将RTK载波相位差技术与视觉SLAM技术相结合。此外,利用增益矩阵计算空间位移状态,满足室内外环境下虚拟现实和增强现实定位的精度要求,获得更加匹配的虚拟现实融合效果和仿真映射。实验结果表明,该方法的鲁棒性和rs融合可以实现摄像机在真实空间和虚拟空间的同时定位。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
RS-fusion: a novel virtual reality localization method based on RTK and visual SLAM
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.
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