PEDESTRIAN DEAD RECKONING AS A COMPLEMENTARY METHOD FOR WIRELESS SENSOR NETWORK AD-HOC PERSON LOCALIZATION

Tobias Gädeke, Johannes Schmid, Wilhelm Stork, Klaus D. Mueller-Glaser

Abstract

The problem of localization and navigation in areas without any or with only limited access to global navigation satellite systems (GNSS) is still not solved. This is especially the case for person localization applications as persons tend to spend a good part of their time in buildings or in cities (urban canyons). One possibility to approach this issue is to use wireless sensor network (WSN) technology. Especially scenarios that require ad-hoc person localization like firefighters that enter a burning building or similar setups, WSN seem to be a promising solution. However, if the node density is low or if the scenario also requires localization in uncovered areas, an additional localization method is required. Pedestrian dead reckoning (PDR) is an ideal complementary method to achieve short term accurate localization under these assumptions. In this paper, an approach to PDR with low processing power for the use in WSN with a hip mounted inertial measurement unit (IMU) is presented. The purpose of the system is to provide a localization and tracking solution if temporarily none or only few anchor nodes are within communication range. This is achieved by detecting steps, estimating the length of each step and determining the step direction in WSN coordinates. We experimentally evaluate the system under varying environmental conditions and show that the concept is a promising solution for the intended applications.

References

  1. Beauregard, S. (2006). A helmet-mounted pedestrian dead reckoning system. In Proceedings of the 3rd International Forum on Applied Wearable Computing (IFAWC 2006).
  2. Borenstein, J., Ojeda, L., and Kwanmuang, S. (2009). Heuristic reduction of gyro drift for personnel tracking systems. Journal of Navigation, 62:41-58.
  3. Foxlin, E. (2005). Pedestrian tracking with shoe-mounted inertial sensors. IEEE Comput. Graph. Appl., 25(6):38-46.
  4. Gädeke, T., Schmid, J., Stork, W., and Müller-Glaser, K. D. (2011a). Pedestrian dead reckoning for person localization in a wireless sensor network. In Proceedings of International Conference on Indoor Positioning and Indoor Navigation (IPIN).
  5. Gädeke, T., Schmid, J., Stork, W., Reinhardt, M., Markus, M., and Blank, T. (2011b). Ad-hoc sensor network for building monitoring and person localization. In Proceedings of the 1st International Conference on Wireless and Mobile Networks (ICWMCN).
  6. Gusenbauer, D., Isert, C., and Kroesche, J. (2010). Selfcontained indoor positioning on off-the-shelf mobile devices. In Proc. Int Indoor Positioning and Indoor Navigation (IPIN) Conference, pages 1-9.
  7. Jahn, J., Batzer, U., Seitz, J., Patino-Studencka, L., and Gutirrez Boronat, J. (2010). Comparison and evaluation of acceleration based step length estimators for handheld devices. In Proc. Int Indoor Positioning and Indoor Navigation (IPIN) Conference, pages 1-6.
  8. Jimenez, A. R., Seco, F., Prieto, C., and Guevara, J. (2010). Indoor pedestrian navigation using an ins/ekf framework for yaw drift reduction and a foot-mounted imu. In WPNC 2010: 7th Workshop on Positioning, Navigation and Communication 2010.
  9. Jimnez, A., Seco, F., Zampella, F., Prieto, C., and Guevara, J. (2011). Improved heuristic drift elimination (ihde) for pedestrian navigation in complex buildings. In International conference on indoor Positioning and Indoor Navigation - IPIN.
  10. Kourogi, M. and Kurata, T. (2003). Personal positioning based on walking locomotion analysis with selfcontained sensors and a wearable camera. In Proc. Second IEEE and ACM Int Mixed and Augmented Reality Symp, pages 103-112.
  11. Niedermeier, H., Ameres, G., Pany, T., and Eissfeller, B. (2009). First results from supporting long coherent cdma correlations by a mems ins and a pedestrian navigation system for hs-gnss applications. In Proc. 6th Workshop Positioning, Navigation and Communication WPNC 2009, pages 5-13.
  12. Randell, C., Djiallis, C., and Muller, H. (2003). Personal position measurement using dead reckoning. In ISWC 7803: Proceedings of the 7th IEEE International Symposium on Wearable Computers, page 166, Washington, DC, USA. IEEE Computer Society.
  13. Schmid, J., Beutler, F., Noack, B., Hanebeck, U., and MllerGlaser, K. (2011a). An experimental evaluation of position estimation methods for person localization in wireless sensor networks. Wireless Sensor Networks, pages 147-162.
  14. Schmid, J., Gaedeke, T., Stork, W., and Mueller-Glaser, K. D. (2011b). On the fusion of inertial data for signal strength localization. In Proceedings of the 8th Workshop on Positioning, Navigation and Communication.
  15. Serra, A., Dessì, T., Carboni, D., Popescu, V., and Atzori, L. (2010). Inertial navigation systems for user-centric indoor applications.
  16. Sun, Z., Mao, X., Tian, W., and Zhang, X. (2009). Activity classification and dead reckoning for pedestrian navigation with wearable sensors. Measurement Science and Technology, 20(1).
  17. Titterton, David H. ; Weston, J. L. (2004). Strapdown inertial navigation technology. Progress in astronautics and aeronautics ; 207. Institution of Electrical Engineers, Stevenage, 2. ed. edition.
  18. Wan, S. and Foxlin, E. (2010). Improved pedestrian navigation based on drift-reduced mems imu chip. Proceedings of the 2010 International Technical Meeting of The Institute of Navigation, pages 220-229.
  19. Weinberg, H. (2002). Using the adxl202 in pedometer and personal navigation applications. Technical report, Analog Devices.
  20. Zhao, N. (2010). Full-featured pedometer design realized with 3-axis digital accelerometer. Analog Dialogue, 44(06).
Download


Paper Citation


in Harvard Style

Gädeke T., Schmid J., Stork W. and D. Mueller-Glaser K. (2012). PEDESTRIAN DEAD RECKONING AS A COMPLEMENTARY METHOD FOR WIRELESS SENSOR NETWORK AD-HOC PERSON LOCALIZATION . In Proceedings of the 1st International Conference on Sensor Networks - Volume 1: SENSORNETS, ISBN 978-989-8565-01-3, pages 139-148. DOI: 10.5220/0003804801390148


in Bibtex Style

@conference{sensornets12,
author={Tobias Gädeke and Johannes Schmid and Wilhelm Stork and Klaus D. Mueller-Glaser},
title={PEDESTRIAN DEAD RECKONING AS A COMPLEMENTARY METHOD FOR WIRELESS SENSOR NETWORK AD-HOC PERSON LOCALIZATION},
booktitle={Proceedings of the 1st International Conference on Sensor Networks - Volume 1: SENSORNETS,},
year={2012},
pages={139-148},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003804801390148},
isbn={978-989-8565-01-3},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 1st International Conference on Sensor Networks - Volume 1: SENSORNETS,
TI - PEDESTRIAN DEAD RECKONING AS A COMPLEMENTARY METHOD FOR WIRELESS SENSOR NETWORK AD-HOC PERSON LOCALIZATION
SN - 978-989-8565-01-3
AU - Gädeke T.
AU - Schmid J.
AU - Stork W.
AU - D. Mueller-Glaser K.
PY - 2012
SP - 139
EP - 148
DO - 10.5220/0003804801390148