Simple pedestrian localization algorithms based on distributed wireless sensor networks

IEEE Transactions on Industrial Electronics

Volumn 56, Issue 10, 2009, Pages 4296-4302

  Ahn, Hyo Sung ^a   Ko, Kwang Hee ^a  

^a Gwangju Institute of Science and Technology (GIST)   (South Korea)

Author keywords

Distributed wireless sensor networks (WSNs); Indoor localization; Mobile robot; Pedestrian localization

Indexed keywords

APRIORI; CRITICAL PROBLEMS; DISTRIBUTED WIRELESS SENSOR NETWORKS; DISTRIBUTED WIRELESS SENSOR NETWORKS (WSNS); EXPERIMENTAL TEST; HARDWARE INSTALLATION; HARDWARE SENSORS; HUMAN BODIES; HUMAN TRACKING; INDOOR LOCALIZATION; INERTIAL MEASUREMENT UNIT; LOCALIZATION ALGORITHM; MEASUREMENT NOISE; NAVIGATION SENSORS; NOISE EFFECTS; PEDESTRIAN LOCALIZATION; SIGNAL DISTURBANCES; SIMPLE ALGORITHM;

MOBILE ROBOTS; SENSOR NETWORKS; UNITS OF MEASUREMENT; WIRELESS TELECOMMUNICATION SYSTEMS;

WIRELESS SENSOR NETWORKS;

EID: 70349609845     PISSN: 02780046     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIE.2009.2017097     Document Type: Article

References (31)

1. A. A. Masoud, "Managing the dynamics of a harmonic potential field-guided robot in a cluttered environment," IEEE Trans. Ind. Electron., vol. 56, no. 2, pp. 488-496, Feb. 2009.
2. S. Sanchez-Solano, A. J. Cabrera, I. Baturone, F. J. Moreno-Velo, and M. Brox, "Hardware-efficient prediction-correction-based controllers for robotic applications," IEEE Trans. Ind. Electron., vol. 54, no. 4, pp. 1937-1945, Apr. 2007.
3. L. Vachhani and K. Sridharan, "FPGA implementation of embedded fuzzy generalized-Voronoi-diagram construction and FPGA implementation," IEEE Trans. Ind. Electron., vol. 55, no. 4, pp. 1558-1569, 2008.
4. H.-S. Ahn, J. Lee, W. Yu, and K.-S. Han, "Indoor localization technique for intelligent robotic space," ETRI's New Technol., vol. 22, pp. 48-57, 2007. (written in Korean).
5. R. Gutierrez-Osuna, J. A. Janet, and R. C. Luo, "Modeling of ultrasonic range sensors for localization of autonomous mobile robots," IEEE Trans. Ind. Electron., vol. 45, no. 4, pp. 654-662, Aug. 1998.
6. R. C. Luo and T. M. Chen, "Autonomous mobile target tracking system based on grey-fuzzy control algorithm," IEEE Trans. Ind. Electron. vol. 47, no. 4, pp. 920-931, Aug. 2000.
7. S. Han, H. Lim, and J. Lee, "An efficient localization scheme for a differential-driving mobile robot based on RFID system," IEEE Trans. Ind. Electron., vol. 54, no. 6, pp. 3362-3369, Dec. 2007.
8. M. Bertozzi, A. Broggi, R. Chapuis, F. Chausse, A. Fascioli, and A. Tibaldi, "Shape-based pedestrian detection and localization," in Proc. IEEE Intell. Trans. Syst., Shanghai, China, 2003, pp. 328-333.
9. E. P. Herrera, R. Quiros, G. Fabregat, M. Ribo, and A. Pinz, "Pedestrian localization system based on Kalman filter and fuzzy logic," in Proc. 5th IEEE Conf. Sensors, Daegu, Korea, 2006, pp. 1183-1186.
10. H. Lu, K. N. Plataniotis, and A. N. Venetsanopoulos, "Coarse-to-fine pedestrian localization and silhouette extraction for the gait challenge data sets," in Proc. IEEE Int. Conf. Multimedia Expo., Toronto, ON, Canada, 2006, pp. 1009-1012.
11. M. Bertozzi, A. Broggi, A. Fascioli, T. Graf, and M. Meinecke, "Pedestrian detection for driver assistance using multiresolution infrared vision," IEEE Trans. Veh. Technol., vol. 53, no. 6, pp. 1666-1678, Nov. 2004.
12. G. N. Desouza and A. C. Kak, "Vision for mobile robot navigation: A survey," IEEE Trans. Pattern Anal.Mach. Intell., vol. 24, no. 2, pp. 237-267, Feb. 2002.
13. L. Fang, P. J. Antsaklis, L. Montestruque, M. B. McMickell, M. Lemmon, Y. Sun, H. Fang, I. Koutroulis, M. Haenggi, M. Xie, and X. Xie, "Design of a wireless assisted pedestrian dead reckoning system - The NavMote experience," IEEE Trans. Instrum. Meas., vol. 54, no. 6, pp. 2342-2358, Dec. 2005.
14. N. Patwari, J. N. Ash, S. Kyperountas, A. O. Hero, III, R. L. Moses, and N. S. Correal, "Locating the nodes," IEEE Signal Process. Mag., vol. 22, no. 4, pp. 54-69, Jul. 2005.
15. G. Sun, J. Chen, and W. Guo, "Signal processing techniques in network-aided positioning," IEEE Signal Process. Mag., vol. 22, no. 4, pp. 12-23, Jul. 2005.
16. J. Shi, H. C. Mueller, and M. Marx, "Pedestrian detection and localization using antenna array and sequential triangulation," in Proc. 8th Int. IEEE Conf. Intell. Transp. Syst., Vienna, Austria, 2005, pp. 126-130.
17. R. Beuran, J. Nakata, Y. Suzuki, T. Kawakami, K. Chinen, Y. Tan, and Y. Shinoda, "Active tag emulation for pedestrian localization applications," in Proc. 5th Int. Conf. Netw. Sensing Syst., Kanazawa, Japan, 2008, pp. 55-58.
18. I. Oppermann, L. Stoica, A. Rabbachin, Z. Shelby, and J. Haapola, "UWB wireless sensor networks: UWEN - A practical examples," IEEE Commun. Mag., vol. 42, no. 12, pp. S27-S32, Dec. 2004.
19. S. Ichiro, "User position detection using RFID tags," in Proc. Jpn. Inf. Process. Soc., 2000, vol. 00-HI-88, pp. 45-50.
20. E. Elnahrawy, X. Li, and R. P. Martin, "Using area-based presentations and metrics for localization systems in wireless LANs," in Proc. 29th Annu. IEEE Int. Conf. Local Comput. Netw., 2004, pp. 650-657.
21. R. J. Fontana, E. Richley, and J. Barney, "Commercialization of an ultra wideband precision asset location system," in Proc. IEEE Conf. Ultra Wideband Syst. Technol., 2003, pp. 369-373.
22. H.-S. Ahn and W. Yu, "Indoor localization techniques based on wireless sensor networks," Mobile Robots - State of the Art in Land, Sea, Air, and Collaborative Missions, pp. 277-302, 2009. In-Tech.
23. H.-S. Ahn and W. Yu, "Wireless localization network for a ubiquitous robotic space: Background and concept," in Proc. 3rd Int. Conf. Ubiquitous Robots Ambient Intell., Seoul, Korea, 2006, pp. 187-192.
24. J. H. Park, K. Son, and K. H. Kim, "Chaos analysis of major joint motions for young males during walking," Trans. KSME, vol. 31, no. 8, pt. A, pp. 889-895, 2007.
25. "Nanonet chirp based wireless networks," White paper-NA-04-0000-0298-1.04, Berlin, Germany: Nanotron Technologies GmbH, Feb. 2007.
26. H.-S. Ahn, W. Yu, and J. Lee, "Wireless localization network for ubiquitous robotic space: Approaches and experimental test," in Proc. 16th IEEE Int. Conf. Robot Human Interactive Commun., Jeju, Korea, 2007, pp. 481-486.
27. M. Bayat, V. Hassani, and A. Pedro Aguiar, "Nonlinear Kalman based filtering for pose estimation of a robotic vehicle from discrete asynchronous range measurements," in Proc. CONTROLO - 8th Portuguese Conf. Autom. Control, Vila Real, Portugal, Jul. 2008, pp. 1-6.
28. L. Jetto, S. Longhi, and G. Venturini, "Development and experimental validation of an adaptive extended Kalman filter for the localization of mobile robots," IEEE Trans. Robot. Autom., vol. 15, no. 2, pp. 219-229, Apr. 1999.
29. J. Yim, C. Park, J. Joo, and S. Jeong, "Extended Kalman filter for wireless LAN based indoor positioning," Decis. Support Syst., vol. 45, no. 4, pp. 960-971, Nov. 2008.
30. P. S. Maybeck, "Stochastic models, estimation, and control," in Mathematics in Science and Engineering, vol. 2. Springfield, VA: NavtechGPS, 1994.
31. H.-S. Ahn and W. Yu, "Indoor mobile robot and pedestrian localization techniques," in Proc. Int. Conf. Control, Autom. Syst., Seoul, Korea, 2007, pp. 2350-2354.