Abstract
Crossroad is among the most dangerous parts outside for the visually impaired people. Numerous studies have exploited navigating systems for the visually impaired community, providing services ranging from block detection, route planning to realtime localization. However, none of them have addressed the safety issue in crossroad and integrated three key factors necessary for a practical crossroad navigation system: detecting the crossroad, locating zebra patterns, and guiding the user within zebra crossing when passing the road. Our CrossNavi application responds to these needs, providing an integrated crossroad navigation service that incorporates all the essential functionalities mentioned above. The overall service is fulfilled by the collaboration of built-in sensors on commodity phones, and requires minimal human participation. We describe the technical aspects of its design, implementation, interface, and further improvements to make the system practical on a wider basis. Experimental results from three visually impaired volunteers show that the system exhibits promising behavior in both urban and rural areas. Copyright © 2014 by the Association for Computing Machinery, Inc. (ACM).
| Original language | English |
|---|---|
| Title of host publication | UbiComp 2014 - Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing |
| Publisher | Association for Computing Machinery |
| Pages | 787-798 |
| ISBN (Print) | 9781450329682 |
| DOIs | |
| Publication status | Published - 2014 |
| Externally published | Yes |
| Event | 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2014 - Seattle, United States Duration: 13 Sept 2014 → 17 Sept 2014 |
Conference
| Conference | 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2014 |
|---|---|
| Place | United States |
| City | Seattle |
| Period | 13/09/14 → 17/09/14 |
Bibliographical note
Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].Funding
We would like to thank the anonymous reviewers and our shepherd, Dr. Emiliano Miluzzo, for providing valuable comments. This work is supported in part by the NSFC Major Program 61190110, NSFC under grant 61171067, 61133016, 61373175 and 61325013, National Basic Research Program of China (973) under grant No.2012CB316200, and the NSFC Distinguished Young Scholars Program under Grant 61125202.
Research Keywords
- Crossroad navigation
- Sensors
- Smartphone
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