AR sightseeing system with proximity detection and markerless AR

Miyajima, Hidetaka; Yata, Noriko; Manabe, Yoshitsugu

doi:10.1109/iwait.2018.8369638

Cited by 4 publications

(1 citation statement)

References 7 publications

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“…Regarding the studies related to the provision of sightseeing information using AR, Fukada et al [20] proposed a sightseeing information provision system, Komoda et al [21], Han et al [7], Vecchio et al [22], and Skorokhodovd et al [23] developed a mobile sightseeing application that provides the information, and Miyajima et al [24] proposed a sightseeing guidance system using a beacon. Zhou et al [25] designed a tourist attraction guide system combining image recognition technology and AR technology.…”

Section: Related Workmentioning

confidence: 99%

Sightseeing Navigation System from Normal Times to Disaster Outbreak Times within Urban Tourist Areas in Japan

Sasaki

Yamamoto

2021

Applied Sciences

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In tourist areas, it is necessary to prepare a method that supports tourists’ activities by providing information concerning disaster support facilities during normal times, in addition to sightseeing spots and tourism-related facilities, because there is a risk of confusion during disasters, as tourists are not aware of the locations of disaster support facilities. The present study aims to develop a navigation system that supports the activities of users during both normal times and disasters by integrating augmented reality (AR) and web geographic information systems (Web-GISs), as well as by using pictograms. The system can not only effectively provide users with information concerning sightseeing spots and tourism-related facilities but also information concerning disaster support facilities. The system was operated over a period of 6 weeks in Chofu City, Tokyo Metropolis, Japan. Based on the results of a questionnaire survey for 60 users, the system was highly evaluated for its originality in terms of displays and functions using pictograms, navigation using AR, and obtaining information during disasters. Additionally, based on the results of access log analysis, the system was continuously utilized by users during the operation period. Therefore, by continuously operating the system, it can be expected that users will further utilize each function of the system.

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