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A Mobile-Cloud Collaborative Traffic Lights Detector for Blind Navigation
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index.pdf
Date
2010-05-26
Author
Angın, Pelin
Bhargava, Bharat
HELAL, Sumi
Metadata
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This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
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Context-awareness is a critical aspect of safe navigation especially for the blind and visually impaired in unfamiliar environments. Existing mobile devices for context-aware navigation fall short in many cases due to their dependence on specific infrastructure requirements as well as having limited access to resources that could provide a wealth of contextual clues. In this paper, we propose a mobile-cloud collaborative approach for context-aware navigation by exploiting the computational power of resources made available by Cloud Computing providers as well as the wealth of location-specific resources available on the Internet. We propose an extensible system architecture that minimizes reliance on infrastructure, thus allowing for wide usability. We present a traffic light detector that we developed as an initial application component of the proposed system. We present preliminary results of experiments performed to test the appropriateness for the real-time nature of the application.
Subject Keywords
Navigation
,
Safety
,
Mobile computing
,
Cloud computing
,
Internet
,
Usability
,
Conference management
,
International collaboration
,
Computer architecture
,
Performance evaluation
URI
https://hdl.handle.net/11511/46905
DOI
https://doi.org/10.1109/mdm.2010.71
Collections
Department of Computer Engineering, Conference / Seminar