Abstract
(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 language | English |
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Title of host publication | MobiCom 2014 - Proceedings of the 20th Annual |
Publisher | Association for Computing Machinery |
Pages | 471-482 |
Number of pages | 12 |
ISBN (Electronic) | 9781450327831 |
DOIs | |
Publication status | Published - 1 Jan 2014 |
Externally published | Yes |
Event | 20th ACM Annual International Conference on Mobile Computing and Networking, MobiCom 2014 - Maui, United States Duration: 7 Sept 2014 → 11 Sept 2014 |
Conference
Conference | 20th ACM Annual International Conference on Mobile Computing and Networking, MobiCom 2014 |
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Country/Territory | United States |
City | Maui |
Period | 7/09/14 → 11/09/14 |
Keywords
- Image direction
- Indoor navigation
- Self-deployable system
ASJC Scopus subject areas
- Software
- Hardware and Architecture
- Computer Networks and Communications