Towards designing better maps for indoor navigation: experiences from a case study
Proceedings of the 8th International Conference on Mobile and Ubiquitous Multimedia
PINwI: pedestrian indoor navigation without infrastructure
Proceedings of the 6th Nordic Conference on Human-Computer Interaction: Extending Boundaries
Intelligent eye: location-based multimedia information for mobile phones
Proceedings of the 12th International Conference on Information Integration and Web-based Applications & Services
Keygraphs for sign detection in indoor environments by mobile phones
GbRPR'11 Proceedings of the 8th international conference on Graph-based representations in pattern recognition
Handheld augmented reality indoor navigation with activity-based instructions
Proceedings of the 13th International Conference on Human Computer Interaction with Mobile Devices and Services
A mobile indoor navigation system interface adapted to vision-based localization
Proceedings of the 11th International Conference on Mobile and Ubiquitous Multimedia
WhereAmI: image-based positioning in dense urban areas
Proceeding of the 11th annual international conference on Mobile systems, applications, and services
A Multisensor Architecture Providing Location-based Services for Smartphones
Mobile Networks and Applications
Augmented reality annotations to assist persons with Alzheimers and their caregivers
Personal and Ubiquitous Computing
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This low-cost indoor navigation system runs on off-the-shelf camera phones. More than 2,000 users at four different large-scale events have already used it. The system uses built-in cameras to determine user location in real time by detecting unobtrusive fiduciary markers. The required infrastructure is limited to paper markers and static digital maps, and common devices are used, facilitating quick deployment in new environments. The authors have studied the application quantitatively in a controlled environment and qualitatively during deployment at four large international events. According to test users, marker-based navigation is easier to use than conventional mobile digital maps. Moreover, the users' location awareness in navigation tasks improved. Experiences drawn from questionnaires, usage log data, and user interviews further highlight the benefits of this approach.