Pedestrian navigation system for mobile phones using panoramic landscape images

Miyazaki, Yuji; Kamiya, Tetsu

doi:10.1109/saint.2006.49

Cited by 14 publications

(6 citation statements)

References 3 publications

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“…Many of these rely on data that is difficult or costly to obtain. For example, Miyazaki and Kamiya [9] develop a pedestrian navigation system for mobile phones using panoramic landscape images that were synthesized from 3D models of cities. This work assumes an existence of a detailed, photo-realistic 3D model of a city.…”

Section: Prior Workmentioning

confidence: 99%

Landmark-based pedestrian navigation from collections of geotagged photos

Hile

Vedantham

Cuellar

et al. 2008

Proceedings of the 7th International Conference on Mobile and Ubiquitous Multimedia

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Mobile phones are an attractive platform for landmark-based pedestrian navigation systems. To be practical, such a system must be able to automatically generate lightweight directions that can be displayed on these mobile devices. We present a system that leverages an online collection of geotagged photographs to automatically generate navigational instructions. These are presented to the user as a sequence of images of landmarks augmented with directional instructions. Both the landmark selection and image augmentation are done automatically. We present a user study that indicates these generated directions are beneficial to users and suggest areas for future improvement.

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Section: Prior Workmentioning

confidence: 99%

Landmark-based pedestrian navigation from collections of geotagged photos

Hile

Vedantham

Cuellar

et al. 2008

Proceedings of the 7th International Conference on Mobile and Ubiquitous Multimedia

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“…A similar approach is presented by Beeharee and Steed [2]. Miyazaki et al [13] use panoramic images to provide additional information on surrounding buildings in an AR-like manner, but the location must have been determined before with GPS or manually on a map. Mulloni et al suggested different perspectives for displaying panoramas [16].…”

Section: Uis For Pedestrian Navigation Systemsmentioning

confidence: 99%

Experimental evaluation of user interfaces for visual indoor navigation

Möller

Kranz

Diewald

et al. 2014

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

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Figure 1. We present and evaluate a novel user interface for indoor navigation, incorporating two modes. In augmented reality (AR) mode, navigation instructions are shown as an overlay over the live camera image and the phone is held as depicted in Picture a). In virtual reality (VR) mode, a correctly oriented 360 • panorama image is shown when holding the phone as in Picture b). The interface particularly addresses the vision-based localization method by including special UI elements that support the acquisition of "good" query images. Screenshot c) shows a prototype incorporating the presented VR user interface. ABSTRACTMobile location recognition by capturing images of the environment (visual localization) is a promising technique for indoor navigation in arbitrary surroundings. However, it has barely been investigated so far how the user interface (UI) can cope with the challenges of the vision-based localization technique, such as varying quality of the query images. We implemented a novel UI for visual localization, consisting of Virtual Reality (VR) and Augmented Reality (AR) views that actively communicate and ensure localization accuracy. If necessary, the system encourages the user to point the smartphone at distinctive regions to improve localization quality. We evaluated the UI in an experimental navigation task with a prototype, informed by initial evaluation results using design mockups. We found that VR can contribute to efficient and effective indoor navigation even at unreliable location and orientation accuracy. We discuss identified challenges and share lessons learned as recommendations for future work.

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“…Their photorealism makes panoramas well-suited for navigation systems, since surrounding elements can serve as orientation landmarks. Miyazaki et al [23] present such a system where panoramas are generated on a server and sent to the handheld client device. Outdoor approaches where image material is augmented with directional information are presented for example in [14] and [11].…”

Section: Background and Related Workmentioning

confidence: 99%

A mobile indoor navigation system interface adapted to vision-based localization

Möller

Kranz

Huitl

et al. 2012

Proceedings of the 11th International Conference on Mobile and Ubiquitous Multimedia

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Vision-based approaches for mobile indoor localization do not rely on the infrastructure and are therefore scalable and cheap. The particular requirements to a navigation user interface for a vision-based system, however, have not been investigated so far.Such interfaces should adapt to localization accuracy, which strongly relies on distinctive reference images, and other factors, such as the phone's pose. If necessary, the system should motivate the user to point at distinctive regions with the smartphone to improve localization quality.We present a combined interface of Virtual Reality (VR) and Augmented Reality (AR) elements with indicators that communicate and ensure localization accuracy. In an evaluation with 81 participants, we found that AR was preferred in case of reliable localization, but with VR, navigation instructions were perceived more accurate in case of localization and orientation errors. The additional indicators showed a potential for making users choose distinctive reference images for reliable localization.

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Pedestrian navigation system for mobile phones using panoramic landscape images

Cited by 14 publications

References 3 publications

Landmark-based pedestrian navigation from collections of geotagged photos

Landmark-based pedestrian navigation from collections of geotagged photos

Experimental evaluation of user interfaces for visual indoor navigation

A mobile indoor navigation system interface adapted to vision-based localization

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