Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/75777
Title: Travi-navi : self-deployable indoor navigation system
Authors: Zheng, YQ 
Shen, GB
Li, LQ
Zhao, CS
Li, M
Zhao, F
Keywords: Indoor navigation
Image direction
Self-deployable system
Issue Date: 2017
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE/ACM transactions on networking, 2017, v. 25, no. 5, p. 2655-2669 How to cite?
Journal: IEEE/ACM transactions on networking 
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.
URI: http://hdl.handle.net/10397/75777
ISSN: 1063-6692
EISSN: 1558-2566
DOI: 10.1109/TNET.2017.2707101
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