Location-based information fusion for mobile navigation

Abstract

Comprehensive yet personalized information for a location is usually desired by mobile users in situ. Traditional navigation systems provide complete static information, such as address, contact, even photos and reviews for a certain place. However, such information does not reflect the real time situation (e.g. popularity/crowdness). Location-based social networks provide opportunity to build social dynamics between the place and potential visitors. In this work, we propose a design by leveraging public online information with users' social network resources to provide real time exploration in novel environments. A mobile application is implemented using Wikipedia, Panoramio, and Foursquare data to provide complete, updated, and trustworthy information. Design highlights and implementation are reported.

Autonomous automobile parking aided by a crowd-sourced, context-centered, mobile navigation network

“…In one recent study, researchers proposed a navigation system that would utilize peer to peer information sharing for closely located users [5]. Another study implemented a navigation application for mobile devices that presented a fusion of the information taken from standard navigation sources such as Google Maps with information from social networking services [6]. These studies show that leveraging mobile technologies to allow for users to share information can be of use in navigation systems.…”