论文标题
使用误差校准方法基于图像传感器的高精度VLP
High Accuracy VLP based on Image Sensor using Error Calibration Method
论文作者
论文摘要
在本文中，考虑接收器采用商业图像传感器的可见光定位（VLP）。我们首先使用图像传感器分析VLP系统的理论限制和误差源。然后，我们在接收器运动上开发了VLP定位模型，并进一步提出了两种新型的误差校准算法，即旋转校准方法和分散圆圈校准方法。旋转算法估计图像中的旋转中心，而不是将图像中心视为旋转中心，从而导致定位误差减少。对于分散圈，它可以抵消定位计算过程中不同坐标之间对话产生的移位误差。根据实验结果，所提出方法的平均定位误差可以减少到0.82厘米，从而在VLP场中实现最新的位置。
In this paper, visible light positioning (VLP) where the receiver adopts a commercial image sensor is considered. We firstly analyze the theoretical limits and error source of the VLP system using image sensor. And then, we develop a VLP positioning model on the receiver movement and further propose two novel error calibration algorithms, namely Rotation Calibration Method and dispersion circle calibration method. The rotation algorithm estimates the rotation center in the image instead of treating the image center as the rotation center, leading to reduced positioning error. For the dispersion circle, it can offset the shift error created by the conversation between different coordinate during the positioning calculation. According to the experimental results, the average positioning error of the proposed methods can be reduced to 0.82cm, which achieve state-of-the-art in the VLP field.
