Performance analysis of visual markers for indoor navigation systems

作     者：Gaetano C.LA DELFA Salvatore MONTELEONE Vincenzo CATANIA Juan F.DE PAZ Javier BAJO 

作者机构：Department of Electrical Electronics and Computer Engineering (DIEEI) University of Catania Catania 95125 Italy BISITE Research Group Faculty of Science University of Salamanca Salamanca 37007 Spain Department of Artificial Intelligence Polytechnic University of Madrid Madrid 28660 Spain 

出 版 物：《Frontiers of Information Technology & Electronic Engineering》 (信息与电子工程前沿（英文版）)

年 卷 期：2016年第17卷第8期

页      面：730-740页

核心收录：

学科分类：080904[工学-电磁场与微波技术] 0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 0810[工学-信息与通信工程] 0839[工学-网络空间安全] 080203[工学-机械设计及理论] 080402[工学-测试计量技术及仪器] 0804[工学-仪器科学与技术] 0835[工学-软件工程] 081001[工学-通信与信息系统] 0802[工学-机械工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：A preliminary version was presented at the 6th International Symposium on Ambient Intelligence in University of Salamanca  Spain  June 3-5 2015 

主　　题：Indoor localization Visual markers Computer vision 

摘      要：The massive diffusion of smartphones, the growing interest in wearable devices and the Internet of Things, and the exponential rise of location based services（LBSs） have made the problem of localization and navigation inside buildings one of the most important technological challenges of recent years. Indoor positioning systems have a huge market in the retail sector and contextual advertising; in addition, they can be fundamental to increasing the quality of life for citizens if deployed inside public buildings such as hospitals, airports, and ***, in emergency situations, they can make the difference between life and death. Various approaches have been proposed in the literature. Recently, thanks to the high performance of smartphones＇ cameras, marker-less and marker-based computer vision approaches have been investigated. In a previous paper, we proposed a technique for indoor localization and navigation using both Bluetooth low energy（BLE） and a 2D visual marker system deployed into the floor. In this paper, we presented a qualitative performance evaluation of three 2D visual markers, Vuforia,Ar Uco marker, and AprilT ag, which are suitable for real-time applications. Our analysis focused on specific case study of visual markers placed onto the tiles, to improve the efficiency of our indoor localization and navigation approach by choosing the best visual marker system.