MagLoc-AR:在大型室内环境中用于无视觉增强现实的磁性定位
IEEE transactions on visualization and computer graphics
|October 2, 2023
概括
MagLoc-AR为增强现实 (AR) 使用磁场干扰提供了一种新的无视觉定位解决方案. 这种方法提供了准确的室内定位,提高了基于视觉系统的功率和稳定性.
科学领域:
- 计算机视觉 计算机视觉
- 机器人技术 机器人技术 机器人技术
- 地质物理学 地质物理学
背景情况:
- 准确的设备定位对于大型环境中的增强现实 (AR) 是至关重要的.
- 基于视觉的本地化面临的挑战包括隐私问题,稳定性问题和高功耗.
- 现有的基于无线信号的定位方法缺乏AR应用所需的准确性.
研究的目的:
- 介绍MagLoc-AR,这是一个新的无视觉定位系统,用于大型室内增强现实.
- 为了实现AR应用的足够准确性,例如使用磁场干扰的导航.
- 为提供一种更强大,更节能的替代品以视觉为基础的本地化.
主要方法:
- 利用无处不在的,取决于位置的磁场干扰作为定位信号.
- 使用消费级的9轴惯性测量单元 (IMU) 来恢复运动轨迹 (陀螺仪和加速度计) 和全球地图记录 (磁力计).
- 开发用于全球一致的磁场重建的映射方法和将磁力测量与网络预测运动融合的本地化方法.
主要成果:
- 在大型室内环境中证明了AR导航的足够准确性.
- 在功耗和稳定性方面,在基于视觉的方法上取得了优势.
- 在大型室内环境中发布了第一个基于视觉和基于地磁的定位数据集.
结论:
- 对于AR应用程序,MagLoc-AR提供了一个可行的无视觉本地化解决方案.
- 拟议的方法有效地利用地磁干扰来准确的室内定位.
- 这项研究为AR提供了一个新的数据集和一个强大的,节能的本地化系统.
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