Dergiler / International Journal of Intelligent Systems and Applications in Engineering / 2017 / Cilt: 5 - Sayı: 2

Effects of Zero Velocity Update on Total Displacement for Indoor Inertial Positioning Systems

Sayfa
59–63
DOI
—
🏛️Bu makalenin bibliyografik verileri ve tam metin bağlantısı DergiPark üzerinden sağlanmıştır.
DergiPark Kaydı ↗
✨

Yapay Zeka Hızlı Bakış & Çıkarımlar

AI Insight
⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Effects of the errors on total displacement are pointed out

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:In this paper; the effects of Zero Velocity Update method, which is one of the most important components of indoor inertial positioning systems, on total displacement is studied.
📊
Temel Bulgular & Veri:For this purpose, acceleration and angular velocity measurements on three-axes are obtained by a low-cost foot-mounted inertial measurement unit while walking.
💡
Sonuç & Katkı:Effects of the errors on total displacement are pointed out
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Alan Parametreleri

Abstract

In this paper; the effects of Zero Velocity Update method, which is one of the most important components of indoor inertial positioning systems, on total displacement is studied. For this purpose, acceleration and angular velocity measurements on three-axes are obtained by a low-cost foot-mounted inertial measurement unit while walking. The obtained acceleration values are processed and velocity and total displacement are estimated by using double integration. Velocity and displacement estimations were done at the end of each step with and without ZUPT algorithm and the results have been compared. Furthermore, in order to understand ZUPT algorithm well, a rectangular shape is plotted with the system containing IMU and microprocessor by stopping at every corner. ZUPT algorithm is implemented at each stop on the corners of the rectangular shape. The results are plotted in MATLAB. Effects of the errors on total displacement are pointed out

🔖

Bu Makaleye Atıf Yap

ULAMIŞ, F., LÜY, M., ÇAM, E., UZUN, İ. (2017). Effects of Zero Velocity Update on Total Displacement for Indoor Inertial Positioning Systems. International Journal of Intelligent Systems and Applications in Engineering, Cilt: 5 - Sayı: 2, 59–63. https://ajindex.com/articles/192478

📄 Tam Metin PDF Okuyucu

📄

PDF görüntüleyici hazırlanıyor...

Kaynakça (10)

  1. Martin-Gorostiza, E., Meca-Meca, F. J., Lázaro-Galilea, J. L., Salido-Monzú, D., Martos-Naya, E., & Wieser, A. (2014, November). Infrared local positioning system using phase differences. In Ubiquitous Positioning Indoor Navigation and Location Based Service (UPINLBS), 2014 (pp. 238- 247). IEEE
  2. Bozkurt Keser, S., Yayan, U., (2016). A Hybrid Approach for Indoor Positioning. In International Journal of Intelligent Systems and Applications in Engineering (IJISAE), 2016, 4(Special Issue), (pp. 162–165)
  3. Tiemann, J., Schweikowski, F., & Wietfeld, C. (2015, October). Design of an UWB indoor-positioning system for UAV navigation in GNSS-denied environments. In Indoor Positioning and Indoor Navigation (IPIN), 2015 International Conference on (pp. 1-7). IEEE
  4. Seco, F., Plagemann, C., Jimenez, A. R. & Burgard, W., (2010). Improving RFID based indoor positioning accuracy using Gaussian processes. In Proceedings of International Conference on Indoor Positioning and Indoor Navigation (IPIN 2010). Zurich, Switzerland, 15-17 September 2010
  5. R. Agrawal and A. Vasalya, (2012). Bluetooth Navigation System using Wi-Fi Access Points. Cornell University Library, Tech. Rep. arXiv:1204.1748
  6. Li, Y., Zhuang, Y., Lan, H., Zhang, P., Niu, X., & ElSheimy, N. (2016). Self-Contained Indoor Pedestrian Navigation Using Smartphone Sensors and Magnetic Features. IEEE Sensors Journal, 16(19), 7173-7182
  7. Pajaziti, A., Avdullahu, P., (2014). SLAM – Map Building and Navigation via ROS#. In International Journal o Intelligent Systems and Applications in Engineering (IJISAE), 2014, 2(4), (pp. 71–75
  8. M. Arraigada, M. Partl, (2006). Calculation of displacements of measured accelerations, analysis of two accelerometers and application in road engineering. Conference paper STRC 2006 [9] Foxlin, E. (2005). Pedestrian tracking with shoe-mounted inertial sensors. IEEE Comp. Graph. Appl. 2005, 25, 38-46
  9. Lance D. Slifka, (2004). An accelerometer based approach to measuring displacements of a vehicle body. Horace Rackham School of Graduate Studies of the University of Michigan
  10. Boore D. M. (2004). Long-period ground motions from digital acceleration recordings: a new era in engineering seismology. Proc. International Workshop on Future Directions in Instrumentation for Strong Motion and Engineering Seismology, Kusadasi, Turkey, Kluher, Dordrecht, The Netherlands (in press), May 17–21, 2004 [12] Hongyang, B., Kai, X., Jiangfeng, D., & Huiling, X. (2015, July). D