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Issue No. 05 - Oct. (2017 vol. 25)
ISSN: 1063-6692
pp: 2655-2669
Yuanqing Zheng , Department of Computing, The Hong Kong Polytechnic University, Hong Kong
Guobin Shen , Microsoft Research Asia, Beijing, China
Liqun Li , Microsoft Research Asia, Beijing, China
Chunshui Zhao , Microsoft Research Asia, Beijing, China
Mo Li , School of Computer Engineering, Nanyang Technological University, Singapore
Feng Zhao , Microsoft Research Asia, Beijing, China
ABSTRACT
We present Travi-Navi—a vision-guided navigation system that enables a self-motivated user to easily bootstrap and deploy indoor navigation services, without comprehensive indoor localization systems or even the availability of floor maps. Travi-Navi records high-quality images during the course of a guider’s walk on the navigation paths, collects a rich set of sensor readings, and packs them into a navigation trace. The followers track the navigation trace, get prompt visual instructions and image tips, and receive alerts when they deviate from the correct paths. Travi-Navi also finds shortcuts whenever possible. In this paper, we describe the key techniques to solve several practical challenges, including robust tracking, shortcut identification, and high-quality image capture while walking. We implement Travi-Navi and conduct extensive experiments. The evaluation results show that Travi-Navi can track and navigate users with timely instructions, typically within a four-step offset, and detect deviation events within nine steps. We also characterize the power consumption of Travi-Navi on various mobile phones.
INDEX TERMS
Wireless fidelity, Indoor navigation, Image capture, Mobile handsets, Image quality, Visualization
CITATION

Y. Zheng, G. Shen, L. Li, C. Zhao, M. Li and F. Zhao, "Travi-Navi: Self-Deployable Indoor Navigation System," in IEEE/ACM Transactions on Networking, vol. 25, no. 5, pp. 2655-2669, 2017.
doi:10.1109/TNET.2017.2707101
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