A Mobile-Cloud Collaborative Traffic Lights Detector for Blind Navigation
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, the authors propose a mobile-cloud collaborative approach for context-aware navigation, where they aim to exploit the computational power of resources made available by cloud computing providers as well as the wealth of location-specific resources available on the Internet to provide maximal context-awareness. The system architecture they propose also has the advantages of being extensible and having minimal infrastructural reliance, thus allowing for wide usability.