A Study of Real-World Information Mapping for Information Sharing Using Edge Devices
Pages 121 - 126
Abstract
We are developing a system that detects "objects" and "events" in the real-world using edge devices that can share the detected information among them in the cyber-space (virtual world) so that the users can remotely obtain real-world information from distant locations. We aim for the system can serve as a foundation for services that construct and utilize a digital twin of the real world. In this paper, we report our findings by implementing "objects" and "things" detection in edge devices (smartphones) and making experiments for sharing the detected "objects" and "things" registered on a digital map.
References
[1]
Geospatial Information Authority of Japan. 2022. Fundamental Geospatial Data. Retrieved Jan 1, 2023 from https://www.gsi.go.jp/kiban/faq.html
[2]
Sendai Keizai. 2012. Jojo Exhibition in S-City Moriou-Machi to open in Sendai. Retrieved Jan 1, 2023 from https://sendai.keizai.biz/headline/1219/
[3]
Cabinet Office of Japan. 2022. Society5.0. Retrieved Jan 1, 2023 from https://www8.cao.go.jp/cstp/society5_0/
[4]
Joseph Redmon, Santosh Divvala, Ross Girshick and Ali Farhadi. 2016. You Only Look Once: Unified, Real-Time Object Detection. In Proceedings of 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Pages: 779-788
[5]
Ryong Lee and Kazutoshi Sumiya. 2010. Measuring geographical regularities of crowd behaviors for Twitter-based geo-social event detection. In Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Location Based Social Networks (LBSN '10). Association for Computing Machinery, New York, NY, USA, 1–10. https://doi.org/10.1145/1867699.1867701
[6]
Ling Chen and Abhishek Roy. 2009. Event detection from flickr data through wavelet-based spatial analysis. In Proceedings of the 18th ACM conference on Information and knowledge management (CIKM '09). Association for Computing Machinery, New York, NY, USA, 523–532. https://doi.org/10.1145/1645953.1646021
[7]
Takeshi Sakaki, Makoto Okazaki and Yutaka Matsuo. 2010. Earthquake shakes Twitter users: real-time event detection by social sensors. In Proceedings of the 19th international conference on World wide web (WWW '10). Association for Computing Machinery, New York, NY, USA, 851–860. https://doi.org/10.1145/1772690.1772777
[8]
Maximilian Walther and Michael Kaisser. 2013. Geo-spatial event detection in the twitter stream. In Proceedings of the 35th European conference on Advances in Information Retrieval (ECIR'13). Springer-Verlag, Berlin, Heidelberg, 356–367. https://doi.org/10.1007/978-3-642-36973-5_30
[9]
Jaewoo Kim, Meeyoung Cha, and Thomas Sandholm. 2014. SocRoutes: safe routes based on tweet sentiments. In Proceedings of the 23rd International Conference on World Wide Web (WWW '14 Companion). Association for Computing Machinery, New York, NY, USA, 179–182. https://doi.org/10.1145/2567948.2577023
[10]
Mobileye. 2022. Mobileye | Driver Assist and Autonomous Driving Technologies Retrieved from https://www.mobileye.com/our-technology/rem/
[11]
Takenori Hara and Hideo Saito. 2022. Real-Time Safe Route Finding and Visualization Using Shared Edge Devices. In: CEUR Workshop Proceedings. 2022 ; Vol. 3297.
[12]
FixMyStreet Japan. 2022 FixMyStreet Retrieved from https://www.fixmystreet.jp/
[13]
Yahoo Japan. 2022. Yahoo Weather Forecast Retrieved from https://weather.yahoo.co.jp/weather/
[14]
Yahoo Japan. 2022. Yahoo! Disaster Prevention App Retrieved from https://emg.yahoo.co.jp/, February 2022
[15]
Apple. 2022. Find" to find friends/share location Retrieved from https://support.apple.com/ja-jp/HT210514,
[16]
LINE. 2022. LINE HERE Retrieved from https://linecorp.com/
[17]
Life360. 2022. Life360 Retrieved from https://www.life360.com/intl/
[18]
Glympse. 2022. Retrieved from https://www.wfrontier.jp/glympse/
[19]
Sukru Yaren Gelbal, Mustafa Ridvan Cantas, Bilin Aksun-Guvenc, and Levent Guvenc. 2021. Pedestrian Path Modification Mobile Tool for COVID-19 Social Distancing for Use in Multi-Modal Trip Navigation. arXiv:2105.07951. Retrieved from https://arxiv.org/abs/2105.07951v2
[20]
Maria Fazio, Alina Buzachis, Antonino Galletta, Antonio Celesti and Massimo Villari. 2020. A proximity-based indoor navigation system tackling the COVID-19 social distancing measures. In IEEE Symposium on Computers and Communications, ISCC 2020, Rennes, France, July 7-10, 2020. pages 1-6, IEEE, 2020. https://doi.org/10.1109/ISCC50000.2020.9219634
[21]
Yizhou Zhao, Yuetian Xie and Shohreh Ahvar. 2019. On Integration of Any Factor with Distance for Navigation: Walk Safely and Fast Enough. In Proceedings of the IEEE 23rd International Enterprise Distributed Object Computing Workshop (EDOCW), Paris, France, 2019 pp. 92-95. https://doi.ieeecomputersociety.org/10.1109/EDOCW.2019.00026
[22]
Ministry of Land, Infrastructure, Transport and Tourism Japan,2022. Project PLATEAU Retrieved from https://www.mlit.go.jp/plateau/
Index Terms
- A Study of Real-World Information Mapping for Information Sharing Using Edge Devices
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Published In
March 2023
133 pages
ISBN:9781450397469
DOI:10.1145/3603421
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 30 October 2023
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ICVARS 2023
ICVARS 2023: 2023 the 7th International Conference on Virtual and Augmented Reality Simulations
March 3 - 5, 2023
Sydney, Australia
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