Table of Contents Author Guidelines Submit a Manuscript
The Scientific World Journal
Volume 2014 (2014), Article ID 597180, 13 pages
http://dx.doi.org/10.1155/2014/597180
Research Article

A Novel Vehicle Stationary Detection Utilizing Map Matching and IMU Sensors

Department of Electrical, Electronic and Systems Engineering, Universiti Kebangsaan Malaysia (UKM), 43600 Bangi, Selangor, Malaysia

Received 21 May 2014; Revised 13 July 2014; Accepted 24 July 2014; Published 7 September 2014

Academic Editor: Wei-Jen Wang

Copyright © 2014 Md. Syedul Amin et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. M. Brković and M. Simić, “Multidimensional optimization of signal space distance parameters in WLAN positioning,” The Scientific World Journal, vol. 2014, Article ID 986061, 6 pages, 2014. View at Publisher · View at Google Scholar
  2. T.-K. Dao, H.-L. Nguyen, T.-T. Pham, E. Castelli, V.-T. Nguyen, and D.-V. Nguyen, “User localization in complex environments by multimodal combination of GPS, WiFi , RFID, and pedometer technologies,” The Scientific World Journal, vol. 2014, Article ID 814538, 7 pages, 2014. View at Publisher · View at Google Scholar
  3. F. Pei, M. Wu, and S. Zhang, “Distributed SLAM using improved particle filter for mobile robot localization,” The Scientific World Journal, vol. 2014, Article ID 239531, 10 pages, 2014, Distributed SLAM Using Improved Particle Filter for Mobile Robot Localization. View at Publisher · View at Google Scholar
  4. Y. Xia, J. Hu, and M. D. Fontaine, “A cyber-ITS framework for massive traffic data analysis using cyber infrastructure,” The Scientific World Journal, vol. 2013, Article ID 462846, 9 pages, 2013. View at Publisher · View at Google Scholar · View at Scopus
  5. J. Y. Lin, “Using evolutionary computation on GPS position correction,” The Scientific World Journal, vol. 2014, Article ID 723736, 6 pages, 2014. View at Publisher · View at Google Scholar
  6. M. S. Amin, M. B. I. Reaz, and S. S. Nasir, “Integrated vehicle accident detection and location system,” TELKOMNIKA Telecommunication, Computing, Electronics and Control, vol. 12, no. 1, 2014. View at Google Scholar
  7. M. S. Amin, S. S. Nasir, M. M. B. I. Reaz, M. A. M. Ali, and T.-G. Chang, “Preference and placement of vehicle crash sensors,” Technical Gazette, vol. 21, pp. 889–896, 2014. View at Google Scholar
  8. Q. Zhang, X. Niu, H. Zhang, and C. Shi, “Algorithm improvement of the low-end GNSS/INS systems for land vehicles navigation,” Mathematical Problems in Engineering, vol. 2013, Article ID 435286, 12 pages, 2013. View at Publisher · View at Google Scholar · View at Scopus
  9. K. P. Schwarz and N. El-Sheimy, “Mobile mapping systems–state of the art and future trends,” in Proceedings of the International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, Vienna, Austria, July 2004.
  10. Q. Fan, W. Li, J. Hui et al., “Integrated positioning for coal mining machinery in enclosed underground mine based on SINS/WSN,” The Scientific World Journal, vol. 2014, Article ID 460415, 12 pages, 2014. View at Publisher · View at Google Scholar
  11. V. Gupta, Vehicle Localization Using Low-Accuracy GPS, IMU and Map-Aided Vision, UMI Dissertation Publishing, 1st edition, 2009.
  12. A. G. Quinchia, G. Falco, E. Falletti, F. Dovis, and C. Ferrer, “A comparison between different error modeling of MEMS applied to GPS/INS integrated systems,” Sensors, vol. 13, no. 8, pp. 9549–9588, 2013. View at Publisher · View at Google Scholar · View at Scopus
  13. K.-C. Lan and W.-Y. Shih, “On calibrating the sensor errors of a PDR-based indoor localization system,” Sensors, vol. 13, no. 4, pp. 4781–4810, 2013. View at Publisher · View at Google Scholar · View at Scopus
  14. D. A. Grejner-Brzezinska, C. K. Toth, and Y. Yi, “Bridging GPS gaps in urban canyons: can ZUPT really help?” in Proceedings of the 58th Annual Meeting of the Institute of Navigation and CIGTF 21st Guidance Test Symposium, Albuquerque, NM, USA, 2002.
  15. A. Ramanandan, A. Chen, and J. A. Farrell, “Inertial navigation aiding by stationary updates,” IEEE Transactions on Intelligent Transportation Systems, vol. 13, no. 1, pp. 235–248, 2012. View at Publisher · View at Google Scholar · View at Scopus
  16. J. Cheng and F. J. de Wan, “A fast initial alignment method for strapdown inertial navigation system on stationary base,” IEEE Transactions on Aerospace and Electronic Systems, vol. 32, no. 4, pp. 1501–1505, 1996. View at Publisher · View at Google Scholar · View at Scopus
  17. J. Li and R. Tao, “Initial alignment technology of strapdown inertial navigation system based-on stationary base,” in Proceedings of the International Conference on Intelligent Control and Information Processing (ICICIP '10), pp. 561–564, Dalian, China, August 2010. View at Publisher · View at Google Scholar · View at Scopus
  18. E. Nebot and H. Durrant-Whyte, “Initial calibration and alignment of low-cost inertial navigation units for land vehicle applications,” Journal of Robotic Systems, vol. 16, no. 2, pp. 81–92, 1999. View at Publisher · View at Google Scholar · View at Scopus
  19. Z. Chuanbin, T. Weifeng, and J. Zhihua, “A novel method improving the alignment accuracy of a strapdown inertial navigation system on a stationary base,” Measurement Science and Technology, vol. 15, no. 4, pp. 765–769, 2004. View at Publisher · View at Google Scholar · View at Scopus
  20. O. Mezentsev, Y. Lu, G. Lachapelle, and R. Klukas, “Vehicular navigation in urban canyons using a high sensitivity GPS receiver augmented with a low cost rate gyro,” in Proceedings of the ION GPS Conference, 2002.
  21. C. Basnayake, O. Mezentsev, G. Lachapelle, and M. Cannon, “An HSGPS, inertial and map-matching integrated portable vehicular navigation system for uninterrupted real-time vehicular navigation,” International Journal of Vehicle Information and Communication Systems, vol. 1, pp. 131–151, 2005. View at Google Scholar
  22. H. Yu, An algorithm to detect zero-velocity in automobiles using accelerometer signals [M.S. thesis], Tampere University, Tampere, Finland, 2008.
  23. H.-J. Chu, G.-J. Tsai, K.-W. Chiang, and T.-T. Duong, “GPS/MEMS INS data fusion and map matching in urban areas,” Sensors, vol. 13, no. 9, pp. 11280–11288, 2013. View at Publisher · View at Google Scholar · View at Scopus
  24. M. S. Grewal, A. P. Andrews, and C. G. Bartone, Global Navigation Satellite Systems, Inertial Navigation, and Integration, John Wiley & Sons, 3rd edition, 2013.
  25. Y.-C. Lai, S.-S. Jan, and F.-B. Hsiao, “Development of a low-cost attitude and heading reference system using a three-axis rotating platform,” Sensors, vol. 10, no. 4, pp. 2472–2491, 2010. View at Publisher · View at Google Scholar · View at Scopus
  26. T. S. Yoo, S. K. Hong, H. M. Yoon, and S. Park, “Gain-scheduled complementary filter design for a MEMS based attitude and heading reference system,” Sensors, vol. 11, no. 4, pp. 3816–3830, 2011. View at Publisher · View at Google Scholar · View at Scopus
  27. J. Farrell, Aided Navigation: GPS with High Rate Sensors, McGraw-Hill, New York, NY, USA, 2008.
  28. B. Park, J. Lee, Y. Kim, H. Yun, and C. Kee, “DGPS enhancement to GPS NMEA output data: DGPS by correction projection to position-domain,” Journal of Navigation, vol. 1, pp. 1–16, 2013. View at Google Scholar
  29. M. A. Quddus, W. Y. Ochieng, and R. B. Noland, “Current map-matching algorithms for transport applications: state-of-the art and future research directions,” Transportation Research C: Emerging Technologies, vol. 15, no. 5, pp. 312–328, 2007. View at Publisher · View at Google Scholar · View at Scopus
  30. L. R. Sahawneh, M. A. Al-Jarrah, K. Assaleh, and M. F. Abdel-Hafez, “Real-time implementation of GPS aided low-cost strapdown inertial navigation system,” Journal of Intelligent and Robotic Systems: Theory and Applications, vol. 61, no. 1–4, pp. 527–544, 2011. View at Publisher · View at Google Scholar · View at Scopus
  31. P. Davidson, J. Hautamäki, J. Collin, and J. Takala, “Improved vehicle positioning in urban environment through integration of gps and low-cost inertial sensors,” in Proceedings of the European Navigation Conference (ENC '09), 2009.
  32. X. Niu, S. Nasser, C. Gooddall, and N. El-Sheimy, “A universal approach for processing any MEMS inertial sensor configuration for land-vehicle navigation,” Journal of Navigation, vol. 60, no. 2, pp. 233–245, 2007. View at Publisher · View at Google Scholar · View at Scopus
  33. M. S. Amin, M. B. I. Reaz, M. A. S. Bhuiyan, and S. S. Nasir, “Kalman filtered GPS accelerometer based accident detection and location system: a low-cost approach,” Current Science, vol. 106, p. 7, 2014. View at Google Scholar