基于图像校准的多源融合的室内定位方法

Multi-source Data Fusion Indoor Localization Method Based on Image Matching

提出一种基于图像校准的多源融合的室内定位方法。结合WiFi信号,图像及惯性传感器数据的特点,在空间连续性和方向连续性的基础上,设定一系列客观规则来提高定位精度,给出了多源融合的室内定位方法框架。试验结果表明:本方法在2 m范围内匹配精度在85%以上,平均定位误差在2 m精度范围内的准确率达到70%。通过与单纯使用WiFi或图像定位对比,该算法分别在速度和精度上得到了较大的提升。

A multi-source fusion indoor positioning method based on image calibration is proposed.Combined the characteristics of WiFi signal,image and inertial sensor data,a series of objective rules are set to improve the positioning accuracy on the basis of spatial continuity and directional continuity.This paper also proposes a"diffusion search"method to improve the efficiency of image matching.The experimental results show that the matching accuracy of this method within 2 m is over 85%,and the accuracy of the average positioning error within 2 m is up to 70%.By comparison,we find that the fusion algorithm is more accurate than the WiFi algorithm.And it also faster than the image algorithm.