A mobile-cloud collaborative traffic lights detector for blind navigation

Angin, P. and Bhargava, B. and Helal, Sumi (2010) A mobile-cloud collaborative traffic lights detector for blind navigation. In: 11th IEEE International Conference on Mobile Data Management, MDM 2010. IEEE, pp. 396-401. ISBN 9781424470754

Full text not available from this repository.

Abstract

Context-awareness is a critical aspect of safe navigation, especially for the blind and visually impaired in unfamiliar environments. Existing mobile devices for contextaware 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. © 2010 IEEE.

Item Type:
Contribution in Book/Report/Proceedings
Subjects:
?? ASSISTIVE TECHNOLOGYCLOUDCONTEXT-AWARENESSMOBILENAVIGATIONVISUALLY IMPAIREDAPPLICATION COMPONENTSBLIND NAVIGATIONCLOUD COMPUTINGCOLLABORATIVE APPROACHCOMPUTATIONAL POWERCONTEXT- AWARENESSCONTEXT-AWAREEXTENSIBLE SYSTEMSTRAFFIC LIGHTDISTRIBUTED COMPUTER SYS ??
ID Code:
89988
Deposited By:
Deposited On:
29 Jan 2018 11:48
Refereed?:
Yes
Published?:
Published
Last Modified:
20 Sep 2023 02:24