Acceso abierto

Ultrasonic Positioning System Implementation and Dynamic 3D Visualization


Cite

1. Sahinoglu, Z., S. Gezici, I. Guvenc. Ultra-Wideband Positioning Systems: Theoretical Limits, Ranging Algorithms, and Protocols. New York, Cambridge University Press, 2008.10.1017/CBO9780511541056Search in Google Scholar

2. Jekabsons, G., V. Kairish, V. Zuravlovs. An Analysis of WiFi Based Indoor Positioning Accuracy. – Sci. J. Riga Tech. Univ. (RTU), Vol. 47, 2011, pp. 131-137.10.2478/v10143-011-0031-4Search in Google Scholar

3. Alhmiedat, T. A., S. H. Yang. A ZigBee-Based Mobile Tracking System through Wireless Sensor Networks. – Int. J. Adv. Mechatron. Syst., Vol. 1, 2008, pp. 63-70.10.1504/IJAMECHS.2008.020839Search in Google Scholar

4. Kai, C., N. Pissinou, K. Makki. Cellular Network Location Estimation via RSS-Based Data Clean Enhanced Scheme. – In: Proc. of IEEE Symposium on the Computers and Communications (ISCC’11), Miami, FL, USA, 28 July 2011, pp. 924-930.Search in Google Scholar

5. Jud, D., A. Michel. Motion Tracking Systems – An Overview of Motion Tracking Methods. Spring Term, 2011. students.asl.ethz.ch/upl_pdf/308-report.pdf.Search in Google Scholar

6. Pelka, M. Position Calculation with Least Squares Based on Distance Measurements. Lübeck University of Applied Sciences: Technical Report 2015; 2. https://cosa.fh-luebeck.de/files/download/pub/TR-2-2015-least-sqaures-with-ToA.pdf.Search in Google Scholar

7. Pelka, M., C. Bollmeyer, H. Hellbrück. Indoor Localization Based on Bi-Phase Measurements for Wireless Sensor Networks. – In: IEEE Wireless Communications and Networking Conference (WCNC’15). Track 3: Mobile and Wireless Networks (IEEE WCNC’15), New Orleans, USA, March 2015.10.1109/WCNC.2015.7127667Search in Google Scholar

8. Laaraiedh, S., M. Yu, L. Avrillon, S. B. Uguen, Comparison of Hybrid Localization Schemes Using RSSI, TOA, and TDOA. – In: 11th European Wireless Conference 2011 – Sustainable Wireless Technologies (European Wireless), VDE, 2011, pp. 1-5.Search in Google Scholar

9. Yi, S., H. Cha. An Active Tracking System Using IEEE 802.15.4-Based Ultrasonic Sensor Devices. Department of Computer Science, Yonsei University, Seodaemun-Gu, Shinchon-Dong 134, Seoul, Korea, pp. 120-749. https://pdfs.semanticscholar.org/6c13/5ac7fb687c3343f5f2829a082bf7760e15b0.pdf.Search in Google Scholar

10. Medina, C., J. C. Segura, A. De la Torre. Ultrasound Indoor Positioning System Based on a Low-Power Wireless Sensor Network Providing Sub-Centimeter Accuracy. – Sensors, Vol. 13, 2013, pp. 3501-3526.10.3390/s130303501365875823486218Search in Google Scholar

11. Hashizume, H., A. Y. Sugano, K. Yatani, M. Sugimoto. Fast and Accurate Positioning Technique Using Ultrasonic Phase Accordance Method. http://yatani.jp/paper/TenCon2005.pdf.10.1109/TENCON.2005.301009Search in Google Scholar

12. Eduardas, L. V., A. A. Bulbenkiene, P. Linas, A. Edgaras. An Ultrasonic Tracking Method for Augmented Reality. http://isd.ktu.lt/it2011/material/Proceedings/5_ITA_4.pdf.Search in Google Scholar

13. Gonzalez, E., L. Prados, A. J. Rubio, J. C. Segura, A. de la Torre, J. M. Moya, P. Rodrıguez, J. L. Martín. ATLINTIDA: A Robust Indoor Ultrasound Location System: Design and Evaluation. – In: Proc. of 3rd Symposium of Ubiquitous Computing and Ambient Intelligence, Salamanca, Spain, 22-24 October 2008, Berlin-Heidelberg, Springer, Advances in Soft Computing Book Series (AINSC’09), Vol. 51, 2009, pp. 180-190.Search in Google Scholar

14. Hazas, M., A. Hopper. Broadband Ultrasonic Location Systems for Improved Indoor Positioning. – IEEE Trans. Mobile Comput., Vol. 5, 2006, pp. 536-547.10.1109/TMC.2006.57Search in Google Scholar

15. Baek, S. H., Y. H. Kim. Design of Multi Position Tracking System Using Ultrasonic Sensor Module. – In Proc. of Symposium on Ultrasonic Electronics, Vol. 31, 6-8 December 2010, pp. 479-480. https://www.use-jp.org/proceedings/USE10/pdf/3P-12.pdf.Search in Google Scholar

16. Yang, C.-H. A Person-Tracking Mobile Robot Using an Ultrasonic Positioning System. Department of Electrical and Computer Engineering, Naval Postgraduate School, December 2005.Search in Google Scholar

17. McCarthy, M., H. Muller. Positioning with Independent Ultrasonic Beacons. Department of Computer Science, University of Bristol, U. K., Technical Report: CSTR-05-005. http://www.cs.bris.ac.uk/, www.cs.bris.ac.uk/Publications/Papers/2000430.pdf.Search in Google Scholar

18. Lazik, P., A. Rowe. Indoor Pseudo-Ranging of Mobile Devices Using Ultrasonic Chirps. – SenSys’12, 6-9 November 2012, Toronto, ON, Canada.10.1145/2426656.2426667Search in Google Scholar

19. Filonenko, V., C. Cullen, J. Carswell. Investigating Ultrasonic Positioning on Mobile Phones. – In: International Conference on Indoor Positioning and Indoor Navigation (IPIN’10), September 2010, pp. 1-8.10.1109/IPIN.2010.5648235Search in Google Scholar

20. Stephen, P. T., P. A. Dinda, R. P. Dick, G. Memik. Indoor Localization without Infrastructure Using the Acoustic Background Spectrum. – In: Proc. of 9th International Conference on Mobile Systems, Applications, and Services (MobiSys’11), ACM, New York, NY, USA, 2011, pp. 155-168.Search in Google Scholar

21. Arp, D., E. Quiring, C. Wressnegger, K. Rieck. A Study on Ultrasonic Device Tracking. Computer Science Report No 2016-02, Technische Universität Braunschweig, Institute of System Security. https://www.sec.cs.tu-bs.de/pubs/2016-batmobile.pdf.Search in Google Scholar

22. Amundson, I., X. D. Koutsoukos. A Survey on Localization for Mobile Wireless Sensor Networks. – In: Proc. of 2nd International Conference on Mobile Entity Localization and Tracking in GPS-Less Environments (MELT’09), Berlin, Heidelberg, Springer-Verlag, 2009, pp. 235-254.10.1007/978-3-642-04385-7_16Search in Google Scholar

23. Sun, Z., R. Farley, T. Kaleas, J. Ellis, K. Chikkappa. Cortina: Collaborative Context-Aware Indoor Positioning Employing RSS and RTOF Techniques. – In: IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM’11 Workshops), March 2011, pp. 340-343.Search in Google Scholar

24. Tarzia, S. P., P. A. Dinda, R. P. Dick, G. Memik. Indoor Localization without Infrastructure Using the Acoustic Background Spectrum. – In: Proc. of 9th International Conference on Mobile Systems, Applications, and Services (MobiSys’11), ACM, New York, NY, USA, 2011, pp. 155-168.10.1145/1999995.2000011Search in Google Scholar

25. Chivarov, N., S. Shivarov, Ultrasonic Positioning System for Mobile Robots. – Problems of Engineering Cybernetics and Robotics, Vol. 62, 2010 pp. 43-51.Search in Google Scholar

eISSN:
1314-4081
Idioma:
Inglés
Calendario de la edición:
4 veces al año
Temas de la revista:
Computer Sciences, Information Technology