计算机科学
定位技术
职位(财务)
无线
摄像机切除
方向(向量空间)
计算机视觉
人工智能
编码(集合论)
实时计算
计算机图形学(图像)
电信
数学
经济
集合(抽象数据类型)
几何学
程序设计语言
财务
作者
Ji‐In Kim,Hui-Seon Gang,Jae-Young Pyun,Goo‐Rak Kwon
出处
期刊:Energies
[MDPI AG]
日期:2021-05-11
卷期号:14 (10): 2759-2759
被引量:8
摘要
Numerous studies on positioning technology are ongoing for recognizing the positions of objects accurately. Vision-, sensor-, and signal-based technologies are combined for recognizing the positions of objects outdoors and indoors. While positioning technologies involving wireless communication based on sensors and signals are commonly used in outdoor environments, the performance becomes degraded in indoor environments. Therefore, a vision-based indoor positioning method using a QR code is proposed in this study. A user’s position is measured by determining the current position of a smartphone device accurately based on the QR code recognized with a smartphone camera. The direction, distance, and position are acquired using the relationship between the three-dimensional spatial coordinate information of the camera and the center point coordinates of a two-dimensional planar QR code obtained through camera calibration.
科研通智能强力驱动
Strongly Powered by AbleSci AI