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基于图像传感器的三维可见光定位用于各种环境
Xiangyu Liu1, Junqi Zhang1, Song Song2,3
1The School of Information Science and Engineering, Shenyang Ligong University, Shenyang 110159, China.
Sensors (Basel, Switzerland)
|August 14, 2025
概括
本研究介绍了使用图像传感器和惯性测量单位 (IMU) 的3D可见光定位系统. 它甚至在单个LED或没有光线的情况下实现了高精度定位,在各种环境中提高了准确性.
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
- 室内定位系统 室内定位系统
背景情况:
- 使用图像传感器 (IS) 的可见光定位 (VLP) 系统正在引起人们的注意.
- 当前基于IS的VLP系统在2D限制,依赖惯性测量单元 (IMU) 和在具有挑战性的条件下如单个LED或解码故障等性能下降方面扎.
研究的目的:
- 开发一种新的三维 (3D) 可见光定位系统,以在各种环境中提高性能.
- 为了克服现有的二维定位系统的局限性,并在LED信号较弱或不存在时提高准确性.
主要方法:
- 利用IMU数据来确定接收器的状态和2D位置.
- 实现了高度尺寸曲线合适方法来计算接收器高度,避免了传统的代错误.
- 开发了一种火辅助的无气质颗粒过器 (FA-UPF) 算法,用于在LED信号丢失或解码故障时稳定定定位.
主要成果:
- 在单个LED条件下,在10厘米内实现了定位错误.
- 在没有光源的场景中,使用FA-UPF算法证明了平均6.45厘米的定位误差.
- 拟议的系统提供了高精度的动态定位能力.
结论:
- 这种新的基于IS的VLP系统有效地解决了现有方法的局限性,提供了准确的3D定位.
- FA-UPF算法在具有挑战性的,低光或无信号的环境中显著提高了定位可靠性和准确性.
- 这项研究有助于更坚固和多功能室内定位解决方案.
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