Guido: Augmented Reality for Indoor Navigation Using Commodity Hardware

被引:5
作者
Cankiri, Zafer Tan [1 ]
Marasli, Erdem Ege [1 ]
Akturk, Sait [1 ]
Sonlu, Sinan [1 ]
Gudukbay, Ugur [1 ]
机构
[1] Bilkent Univ, Dept Comp Engn, Ankara, Turkey
来源
2020 24TH INTERNATIONAL CONFERENCE INFORMATION VISUALISATION (IV 2020) | 2020年
关键词
Augmented Reality; Simultaneous Localization and Mapping; Inertial Measurement Unit; Indoor Navigation;
D O I
10.1109/IV51561.2020.00123
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Indoor positioning is one of the difficult problems in current navigation systems. There is an increasing demand for detecting the locations of objects and humans inside closed environments in various fields including surveillance, robotics, and entertainment. Recent works focus on indoor navigation systems using different technologies including Wireless Local Area Network (WLAN), Radio Frequency Identification (RFID), Inertial Measurement Unit (IMU), and Simultaneous Localization and Mapping (SLAM). Research reveals using these technologies alone is inefficient in terms of accuracy and cost. To address this issue, we propose a marker-based Augmented Reality (AR) indoor navigation system with integrated SLAM and IMU. We use Unity's AR Foundation Framework for highly accurate results with minimum hardware requirements.
引用
收藏
页码:708 / 713
页数:6
相关论文
共 24 条
[21]  
Unity Technologies, 2020, CLASS ARSESSIONORIGI
[22]   An Improved PDR/Magnetometer/Floor Map Integration Algorithm for Ubiquitous Positioning Using the Adaptive Unscented Kalman Filter [J].
Wang, Jian ;
Hu, Andong ;
Li, Xin ;
Wang, Yan .
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2015, 4 (04) :2638-2659
[23]   Improved GNSS-based indoor positioning algorithm for mobile devices [J].
Xu, Rui ;
Chen, Wu ;
Xu, Ying ;
Ji, Shengyue ;
Liu, Jianye .
GPS SOLUTIONS, 2017, 21 (04) :1721-1733
[24]   Intelligent video analysis: A Pedestrian trajectory extraction method for the whole indoor space without blind areas [J].
Yang, Lie ;
Hu, Guanghua ;
Song, Yonghao ;
Li, Guofeng ;
Xie, Longhan .
COMPUTER VISION AND IMAGE UNDERSTANDING, 2020, 196