Travi-Navi: Self-deployable indoor navigation system

Yuanqing Zheng, Guobin Shen, Liqun Li, Chunshui Zhao, Mo Li, Feng Zhao

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

89 Citations (Scopus)


(ACM). 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 the most efficient shortcuts whenever possible. We encounter and solve several 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 4-step offset, and detect deviation events within 9 steps.
Original languageEnglish
Title of host publicationMobiCom 2014 - Proceedings of the 20th Annual
PublisherAssociation for Computing Machinery
Number of pages12
ISBN (Electronic)9781450327831
Publication statusPublished - 1 Jan 2014
Externally publishedYes
Event20th ACM Annual International Conference on Mobile Computing and Networking, MobiCom 2014 - Maui, United States
Duration: 7 Sept 201411 Sept 2014


Conference20th ACM Annual International Conference on Mobile Computing and Networking, MobiCom 2014
Country/TerritoryUnited States


  • Image direction
  • Indoor navigation
  • Self-deployable system

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Networks and Communications


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