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一个室内视觉定位方法与3D坐标使用内置的智能手机传感器,基于极几何
Ping Zheng1, Danyang Qin1,2, Jianan Bai1
1Department of Electronic and Communication Engineering, Heilongjiang University, Harbin 150080, China.
Micromachines
|June 28, 2023
概括
这项研究引入了一个新的室内视觉定位方法,使用智能手机传感器和极几何学. 它实现了精确的3D坐标,90%的误差低于0.58m,使得可靠的用户定位.
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
- 地理学就是地质学.
背景情况:
- 传统的视觉定位方法与混合错误作斗争,导致方向向量趋同不准确.
- 现有的技术经常将3D向量映射到2D平面,导致定位错误,包括无限点的点.
研究的目的:
- 为准确的3D坐标确定提出一个改进的室内视觉定位方法.
- 通过将智能手机传感器数据与视觉计算集成,克服现有方法的局限性.
主要方法:
- 提出的方法将定位问题转化为计算从一个点到空间中的多条线的距离.
- 它将加速度计和磁力计数据与视觉信息融合在一起,以提高坐标精度.
- 极几何原理用于几何关系构造.
主要成果:
- 该方法在各种姿势中展示了稳定的本地化性能,即使图像检索结果有限.
- 实验结果显示,90%的定位误差低于0.58米.
- 平均定位误差小于0.3米,符合实际应用的要求.
结论:
- 开发的室内视觉定位系统为用户定位提供了低成本,准确和强大的解决方案.
- 惯性传感器的集成显著提高了视觉定位的可靠性和准确性.
- 该方法为需要精确室内定位的应用提供了切实可行的替代方案.
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