Street navigation using visual information on mobile phones

Applications with street navigation have been recently introduced on mobile phone devices. A major part of existing systems use integrated GPS as input for indicating the location. However, these systems often fail or make abrupt shifts in urban environment due to occlusion of satellites. Furthermore, they only give the position of a person and not the object of his attention, which is just as important for localization based services. In this paper we introduce a system using mobile phones built-in cameras for navigation and localization using visual information in accordance with the way we as humans navigate. The introduced method uses local features for extraction of natural feature points from images which are compared to a database for localization. The system is tested and evaluated in a real urban environment and the result shows very high success rate.