| 摘要(英) |
Freshmen need a guidance system to explore their new building environment. With the advancements of mobile technologies, a guidance system using mobile computing devices such as mobile phones or tablets could aid freshmen in locating the desired destination with ease. Recently, the Cyber-Physical System (CPS) becomes popular because it enables us to connect our physical environment with the cyber environment. Current research designed guidance system by using Pedestrian Dead Reckoning (PDR) [KAN15], PDR with Google Map [CZO15], and PDR with Augmented reality (AR) [LOW15]. The research did not connect the physical and the cyber environments to monitor multiple user locations in the building.
This research proposes the design of a Marker-Based Cyber-Physical AR guidance system. An Android application, named Engfi Gate system developed to realize the design. This system consists of the Marker-Based Cyber-Physical Interaction, Indoor Positioning and, AR subsystems. Marker-Based Cyber-Physical Interaction gives a new experience in the guidance system when it combines with the Indoor Positioning and AR subsystems. Engfi Gate system has two AR operation modes as options.
To evaluate the Engfi Gate system, we compare it with other related systems, measure indoor positioning accuracy, and evaluate the two types AR operation modes. The comparison results show that the Engfi Gate system has not only good performances but also more features and operational preferences. Furthermore, the design architecture of Engfi Gate system can be used in other location-based applications. |
| 參考文獻 |
REFERENCES
[*BLU] Bluetooth Beacons. http://bluetoothbeacons.com/, last accessed on June 2016.
[*RASP] Raspberry Pi. https://en.wikipedia.org/wiki/Raspberry_Pi, last accessed on June 2016.
[*GCAR] Google Cardboard. https://en.wikipedia.org/wiki/Google_Cardboard, last accessed on June 2016.
[*AND] Android Studio. https://developer.android.com/studio/intro/index.html, last accessed on June 2016.
[*VUF] Vuforia SDK. https://developer.vuforia.com/, last accessed on June 2016.
[*GVR] Google VR SDK. https://developers.google.com/vr/concepts/overview-cardboard, last accessed on June 2016.
[*UNITY] Unity 3D software. https://unity3d.com/unity/, last accessed on June 2016.
[KEV11] Kevin Curran, Eoghan Furey, Tom Lunney, Jose Santos, Derek Woods and Aiden Mc Caughey (2011) “An Evaluation of Indoor Location Determination Technologies”. Journal of Location Based Services Vol. 5, No. 2, pp: 61-78, June 2011, ISSN 1748-9725
[DON14] Dong Quande and Xu Xu, "A Novel Weighted Centroid Localization Algorithm Based on RSSI for an Outdoor Environment," in College of Information Engineering, Suzhou University, Journal of Communications Vol. 9, No. 3, March 2014.
[TAN14] L. A. Tang, J. Han and G. Jiang, "Mining sensor data in cyber-physical systems," in Tsinghua Science and Technology, vol. 19, no. 3, pp. 225-234, June 2014.
[PAE14] V. Paelke, "Augmented reality in the smart factory: Supporting workers in an industry 4.0. environment," Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA), Barcelona, 2014, pp. 1-4.
[CZO15] O. Czogalla and S. Naumann, "Pedestrian Guidance for Public Transport Users in Indoor Stations Using Smartphones," 2015 IEEE 18th International Conference on Intelligent Transportation Systems, Las Palmas, 2015, pp. 2539-2544.
[ZHA15] X. Zhang, Y. Chen and T. Li, "Optimization of logistics route based on Dijkstra," Software Engineering and Service Science (ICSESS), 2015 6th IEEE International Conference on, Beijing, 2015, pp. 313-316.
[AHM15] A. A. Ahmed, M. Al-Shaboti and A. Al-Zubairi, "An Indoor Emergency Guidance Algorithm Based on Wireless Sensor Networks," Cloud Computing (ICCC), 2015 International Conference on, Riyadh, 2015, pp. 1-5.
[LOW15] Low Chin Gee and Lee Yunli, "Interactive Virtual Indoor Navigation System using Visual Recognition and Pedestrian Dead Reckoning Techniques" Proceedings International Journal of Software Engineering and Its Applications, Sunway University-Malaysia, 2015.
[FUJ15] A. Fujihara and T. Yanagizawa, "Proposing an Extended iBeacon System for Indoor Route Guidance," Intelligent Networking and Collaborative Systems (INCOS), 2015 International Conference on, Taipei, 2015, pp. 31-37.
[KAN15] W. Kang and Y. Han, "SmartPDR: Smartphone-Based Pedestrian Dead Reckoning for Indoor Localization," in IEEE Sensors Journal, vol. 15, no. 5, pp. 2906-2916, May 2015. |
[Endnote RIS 格式]
[相關文章]
[文章引用]
[完整記錄]
[館藏目錄]
[檢視]
plurk
funp
live
udn
HD
myshare
netvibes
friend
youpush
delicious
baidu
Google bookmarks
del.icio.us
hemidemi
facebook
twitter
google
reddit