An ARCore-Based Augmented Reality Campus Navigation System
Source abstract
Abstract
Currently, the route planning functions in 2D/3D campus navigation systems in the market are unable to process indoor and outdoor localization information simultaneously, and the UI experiences are not optimal because they are limited by the service platforms. An ARCore-based augmented reality campus navigation system is designed in this paper in order to solve the relevant problems. Firstly, the proposed campus navigation system uses ARCore to enhance reality by presenting 3D information in real scenes. Secondly, a visual inertial ranging algorithm is proposed for real-time locating and map generating in mobile devices. Finally, rich Unity3D scripts are designed in order to enhance users’ autonomy and enjoyment during navigation experience. In this paper, indoor navigation and outdoor navigation experiments are carried out at the Lingang campus of Shanghai University of Electric Power. Compared with the AR outdoor navigation system of Gaode, the proposed AR system can achieve increased precise outdoor localization by deploying the visual inertia odometer on the mobile phone and realizes the augmented reality function of 3D information and real scene, thus enriching the user’s interactive experience. Furthermore, four groups of students have been selected for system testing and evaluation. Compared with traditional systems, such as Gaode map or Internet media, experimental results show that our system could facilitate the effectiveness and usability of learning on campus.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Augmented Reality Applications · Robotics and Sensor-Based Localization · UAV Applications and Optimization
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
College of Computer Science and Technology, Shanghai University of Electric Power, Shanghai 200090, China
College of Chemical Engineering, Zhejiang University of Technology, Hangzhou 310014, China
Zhijiang College, Zhejiang University of Technology, Shaoxing 312000, China
References (28)
Show source-provided references
1. Design and Implementation of Campus Comprehensive Information Service System Based on Baidu Map API
2. Augmented Reality Based Mobile Tour Guide System
3. Li, Z.G., Qi, G.L., Hu, W.K., Ma, X.Y., and Guo, Q.S. (2021, January 9–11). Application of Augmented Reality in Campus Navigation. Proceedings of the IEEE 6th International Conference on Intelligent Computing and Signal Processing (ICSP 2021), Xi’an, China.
4. Jacob, R., Zheng, J., Ciepłuch, B., Mooney, P., and Winstanley, A.C. (2009, January 7–8). Campus guidance system for international conferences based on OpenStreetMap. Proceedings of the International Symposium on Web and Wireless Geographical Information Systems, Maynooth, Ireland.10.1007/978-3-642-10601-9_13 ↗
5. School based on Android platform Garden guide software design
6. Campus Navigation on Android Platform
7. Yu, K.-M., Chiu, J.-C., Lee, M.-G., and Chi, S.-S. (2015, January 24–26). A mobile application for an ecological campus navigation system using augmented reality. Proceedings of the International Conference on Ubi-Media Computing (UMEDIA), Colombo, Sri Lanka.10.1109/UMEDIA.2015.7297421 ↗
8. Pei, L.S., Cai, S., and Shi, P.F. (2013, January 18–22). Mobile Campus Touring System based on AR and GPS: A Case Study of Campus Cultural Activity. Proceedings of the 21st International Conference on Computers in Education (ICCE 2013), Denpasar Bali, Indonesia.
9. Lin, C.-H., Chung, Y., Chou, B.-Y., Chen, H.-Y., and Tsai, C.-Y. (2018, January 13–17). A novel campus navigation APP with augmented reality and deep learning. Proceedings of the IEEE International Conference on Applied System Invention (ICASI), Chiba, Japan.10.1109/ICASI.2018.8394464 ↗
10. Dutta, S., Barik, M.S., Chowdhury, C., and Gupta, D. (2018, January 12–13). Divya-Dristi: A smartphone based campus navigation system for the visually impaired. Proceedings of the Fifth International Conference on Emerging Applications of Information Technology (EAIT), Kolkata, India.10.1109/EAIT.2018.8470397 ↗
11. Demystifying the design of mobile augmented reality applications10.1007/s11042-013-1710-7 ↗
12. Recent advances in augmented reality10.1109/38.963459 ↗
13. A survey of augmented reality. Presence: Teleoper
14. Mobile Augmented Reality Survey: From Where We Are to Where We Go10.1109/ACCESS.2017.2698164 ↗
15. Kim, D., and Choi, Y. (2021). Applications of Smart Glasses in Applied Sciences: A Systematic Review. Appl. Sci., 11.10.3390/app11114956 ↗
16. Augmented Reality Smart Glasses (ARSG) Visitor Adoption in Cultural Tourism10.1080/02614367.2019.1604790 ↗
17. Application of Augmented Reality to Surgical Practice: A Pilot Study Using the ODG R7 Smart glasses10.1111/coa.13460 ↗
18. Verma, P., Agrawal, K., and Sarasvathi, V. (2020, January 14–16). Indoor Navigation Using Augmented Reality. Proceedings of the 4th International Conference on Virtual and Augmented Reality Simulations, Sydney, Australia.10.1145/3385378.3385387 ↗
19. Charles, G.V., and Simon, R. (2019, January 25–27). An indoor navigation platform for seeking Internet of Things devices in large indoor environment. Proceedings of the 5th EAI International Conference on Smart Objects and Technologies for Social Good, Valencia, Spain.
20. Enhancing Integrated Indoor/Outdoor Mobility in a Smart Campus10.1080/13658816.2015.1049541 ↗
21. Jiang, Y., Fang, Y., Yao, C., and Wang, Z. (2011, January 14–16). A design of indoor & outdoor navigation system. Proceedings of the ICCAT2011—IET International Conference on Communication Technology and Application (ICCTA 2011), Beijing, China.
22. Vanclooster, A., and Maeyer, P.D. (2012). Combining Indoor and Outdoor Navigation: The Current Approach of Route Planners. Advances in Location-Based Services, Springer.10.1007/978-3-642-24198-7_19 ↗
23. Wang, Z., and Niu, L. (2018). A Data Model for Using OpenStreetMap to Integrate Indoor and Outdoor Route Planning. Sensors, 18.10.3390/s18072100 ↗
24. An Indoor and Outdoor Navigation System for Visually Impaired People10.1109/ACCESS.2019.2955046 ↗
25. Research on Application of Extended Kalman Filter Algorithm in Navigation
26. SLAM estimation method for uncertain model noise parameters10.1007/s10586-018-2244-6 ↗
27. He, Y.X., Hu, T., and Zeng, D. (2019, January 16–20). Scan-Flood Fill (SCAFF): An Efficient Automatic Precise Region Filling Algorithm for Complicated Regions. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, Long Beach, CA, USA.10.1109/CVPRW.2019.00104 ↗
28. Obstacle avoidance of mobile robots using modified artificial potential field algorithm10.1186/s13638-019-1396-2 ↗