Mobile AR Tourist Attraction Guide System Design Based on Image Recognition and User Behavior

Sun, Zhe; Xue, Chengqi; Lin, Yun; Zhang, Jing

doi:10.1007/978-3-030-11051-2_131

Cited by 4 publications

(4 citation statements)

References 2 publications

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“…In [ 38 ], Zhou et al developed a tourist attraction guide system combining image-recognition technology and AR technology. This approach is similar to our method of increasing the anchor point accuracy by involving the image reference database.…”

Section: Related Work In the Literaturementioning

confidence: 99%

An Enhancement of Outdoor Location-Based Augmented Reality Anchor Precision through VSLAM and Google Street View

Brata,

Funabiki,

Panduman

et al. 2024

Sensors

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Outdoor Location-Based Augmented Reality (LAR) applications require precise positioning for seamless integrations of virtual content into immersive experiences. However, common solutions in outdoor LAR applications rely on traditional smartphone sensor fusion methods, such as the Global Positioning System (GPS) and compasses, which often lack the accuracy needed for precise AR content alignments. In this paper, we introduce an innovative approach to enhance LAR anchor precision in outdoor environments. We leveraged Visual Simultaneous Localization and Mapping (VSLAM) technology, in combination with innovative cloud-based methodologies, and harnessed the extensive visual reference database of Google Street View (GSV), to address the accuracy limitation problems. For the evaluation, 10 Point of Interest (POI) locations were used as anchor point coordinates in the experiments. We compared the accuracies between our approach and the common sensor fusion LAR solution comprehensively involving accuracy benchmarking and running load performance testing. The results demonstrate substantial enhancements in overall positioning accuracies compared to conventional GPS-based approaches for aligning AR anchor content in the real world.

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Section: Related Work In the Literaturementioning

confidence: 99%

An Enhancement of Outdoor Location-Based Augmented Reality Anchor Precision through VSLAM and Google Street View

Brata,

Funabiki,

Panduman

et al. 2024

Sensors

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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. Makino et al (2019) [26] developed a system that visualizes spatiotemporal information in both real and virtual spaces to provide sightseeing information, integrating SNS, Web-GIS, mixed reality (MR), and the original gallery system, as well as Wikitude and connections with external social media.…”

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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“…Wang et al (2018) [20] proposed a mobile navigation system, adopting a multitarget AR recognition mechanism and polygon approximation-based data acquisition. Zhou et al (2019) [21] designed a tourist attraction guide system combining image-recognition technology and AR technology.…”

Section: Related Workmentioning

confidence: 99%

“…However, the AR smart glasses, which were used in Fujita et al (2016) [5], Zhou et al (2016) [6], and Rehman et al (2017) [9], have not been popular all over the world. Moreover, considering the limitations of Kurihara et al (2014) [19] and Zhou et al (2019) [21], in the case of outdoor navigation, object-recognition AR is more suitable than image-recognition AR to show the information related to specific spots. The results of (3), i.e., the studies related to information services using AR, show that the general public, in addition to scientists and technicians, can efficiently obtain various information by means of AR technologies.…”

Section: Related Workmentioning

confidence: 99%

A Sightseeing Support System Using Augmented Reality and Pictograms within Urban Tourist Areas in Japan

Sasaki

Yamamoto

2019

IJGI

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Though tourists can search for necessary information on the internet while sightseeing, it takes effort and is inconvenient to obtain available information related to specific sightseeing spots among the copious amount of information online. Targeting urban tourist areas in Japan, the present study aims to develop a system that can provide guidance and information concerning sightseeing spots by integrating location-based augmented reality (AR) and object-recognition AR and by using pictograms. The system enables users to efficiently obtain the directions to sightseeing spots and nearby facilities within urban tourist areas and sightseeing spot information. Additionally, the city of Chofu in the metropolis of Tokyo was selected as the operation target area. The operation of the system was conducted for 1 month, targeting those inside and outside the operation target area, and a web questionnaire survey was conducted with a total number of 50 users. From the evaluation results of the web questionnaire survey, the usefulness of the original functions of integrating location-based AR and object-recognition AR and by using pictograms, as well as of the entire system, was analyzed. From the results of the access analysis of users’ log data, it is expected that users will further utilize each function. Additionally, it is evident that location-based AR was used more often than was object-recognition AR.

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Mobile AR Tourist Attraction Guide System Design Based on Image Recognition and User Behavior

Cited by 4 publications

References 2 publications

An Enhancement of Outdoor Location-Based Augmented Reality Anchor Precision through VSLAM and Google Street View

An Enhancement of Outdoor Location-Based Augmented Reality Anchor Precision through VSLAM and Google Street View

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

A Sightseeing Support System Using Augmented Reality and Pictograms within Urban Tourist Areas in Japan

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