Decentralised particle filtering for multiple target tracking in wireless sensor networks

Proceedings of the 11th International Conference on Information Fusion, FUSION 2008

Volumn , Issue , 2008, Pages

  Ong, Lee Ling ^a   Bailey, Tim ^a   Durrant Whyte, Hugh ^a   Upcroft, Ben ^b  

^a UNIVERSITY OF SYDNEY   (Australia)

^b UNIVERSITY OF QUEENSLAND   (Australia)

Author keywords

Decentralised systems; Estimation; Tracking

Indexed keywords

DATA FUSION; FUSION REACTIONS; HYBRID SENSORS; INFORMATION FUSION; SENSOR NETWORKS; SENSORS; SIGNAL FILTERING AND PREDICTION; TARGET TRACKING; WIRELESS SENSOR NETWORKS;

CONTINUOUS DISTRIBUTIONS; DECENTRALISED SYSTEMS; DIVISION OPERATIONS; ESTIMATION ERRORS; FIELD TRIALS; GAUSSIAN KERNEL FUNCTIONS; JOINT LOCALISATION; MULTIPLE TARGET TRACKING; MULTIPLE TARGETS; OBSERVATION INFORMATIONS; PARTICLE FILTERING; PARTICLE SETS; POSTE-RIORS; REAL-TIME APPLICATIONS; TRACKING;

SENSOR DATA FUSION;

EID: 56749148415     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIF.2008.4632230     Document Type: Conference Paper

References (32)

1. L.-L. Ong, B. Upcroft, M. Ridley, T. Bailey, S. Sukkarieh, and H. Durrant-Whyte, "Consistent methods for decentralised data fusion using particle filters," in IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, September 2006, pp. 85-91.
2. L.-L. Ong, B. Upcroft, T. Bailey, M. Ridley, S. Sukkarieh, and H. Durrant-Whyte, "A decentralised particle filtering algorithm for multitarget tracking across multiple flight vehicles," in IEEE/RSJ International Conference on Intelligent Robots and Systems, October 2006, pp. 4539-4544.
3. S. Grime, "Communication in decentralised sensing architectures," Ph.D. dissertation, The University of Oxford, 1992.
4. E. Nettleton, H. Durrant-Whyte, and S. Sukkarieh, "A robust architecture for decentralised data fusion," in The 11th International Conference on Advanced Robotics (ICAR'03), Coimbra, Portugal, 2003.
5. M. Coates, "Distributed particle filters for sensor networks," in Information Processing in Sensor Networks (ISPN 2003). Springer, 26-27 April 2004, pp. 99-107.
6. X. Sheng, Y. Hu, and P. Ramanathan, "Distributed particle filter with GMM approximation for multiple targets localization and tracking in wireless sensor network," in Fourth International Symposium on Information Processing in Sensor Networks, (IPSN), 2005, pp. 181-188.
7. Y. Bar-Shalom, "On the track-to-track correlation problem," IEEE Trans. Automatic Contro,, vol. 26(2), pp. 802-807, 1981.
8. K. Chang, R. Saha, and Y. Bar-Shalom, "On optimal track-to-track fusion," IEEE Transactions on Aerospace and Electronic Systems, vol. 33(4), pp. 1271-1276, 1997.
9. C. Chong, "Distributed architectures for data fusion," in In Proceedings First International Conference on Multisource-Multisensor Information Fusion, 1998, pp. 84-91.
10. L. Y. Pao and M. K. Kalandros, "Algorithms for a class of distributed architecture tracking," in Proceedings of the American Control Conference, Albuquerque, NM, June 1997, pp. 1434-1438, distributed Data Fusion Algorithms for Measurements and tracks.
11. D. Alspach and H. Sorenson, "Nonlinear bayesian estimation using gaussian sum approximations," IEEE Transactions on Automatic Control, vol. 17(4), pp. 439-448, August 1972.
12. L. Trailovic and L. Y. Pao, "Variance estimation and ranking of target tracking position errors modeled using gaussian mixture distributions," Automatica, vol. 41, no. 8, pp. 1433-1438, August 2005.
13. J. S. Williams, "Gaussian mixture reduction for tracking multiple maneuvering targets in clutter," Ph.D. dissertation, Deparment of the Air Force, Air University, 2003.
14. M. Bolic, P. M. Djuric, and S. Hong, "Resampling algorithms and architectures for distributed particle filters," IEEE Transactions on Signal Processing, vol. 53(7), pp. 2442-2450, June 2005.
15. S. Challa, M. Palaniswami, and A. Shilton, "Distributed data fusion system using support vector machines," in Proceedings IEEE Conference on Information Fusion (FUSION2005), Annapolis , USA, 2002.
16. M. Rosencrantz, G. Gordon, and S. Thrun, "Decentralised data fusion with distributed particle filters," in Proceedings of the Conference on Uncertainty in AI (UAI), Acapulco, Mexico, 2003.
17. A. Ihler, J. Fisher III, R. Moses, and A. Willsky, "Nonparametric belief propagation for self-calibration in sensor networks," Information Processing in Sensor Networks, Berkeley, California, USA, 2004.
18. M. Rosencrantz, G. Gordon, and S. Thrun, "Locating moving entities in dynamic indoor environments with teams of mobile robots," in Proceedings of Autonomous Agents and Multi-Agent Systems, Melbourne, Australia, 2003.
19. S. Julier, "An empirical study into the use of Chernoff information for robust, distributed fusion of Gaussian mixture models," in 9th International Conference on Information Fusion (FUSION '06), Florence, Italy, 2006.
20. B. Upcroft, M. Ridley, L. Ong, B. Douillard, T. Kaupp, S. Kumar, T. Bailey, F. Ramos, A. Makarenko, A. Brooks, S. Sukkarieh, and H. Durrant-Whyte, "Multi-level state estimation in outdoor decentralised sensor network," in Proceedings of the International Symposium on Experimental Robotics, Rio de Janiero, Brazil, June 2006.
21. Y. Bar-Shalom, Multitarget-multisensor tracking: advanced appplications. Artech House, 1990.
22. C. Musso, N. Oudjane, and F. Le Gland, "Improving regularised particle filters," in Sequential Monte Carlo Methods in Practice, A. Doucet, N. de Freitas, and N. Gordon, Eds. Springer-Verlag, 2001, pp. 247-272.
23. A. Doucet, N. de Freitas, and N. Gordon, "An introduction to sequential Monte Carlo methods," in Sequential Monte Carlo Methods in Practice, A. Doucet, N. de Freitas, and N. Gordon, Eds. Springer-Verlag, 2001, pp. 3-14.
24. T. Cover and J. Thomas, Elements of Information Theory, ser. Wiley Series in Telecommunications. New York: Wiley, 1991.
25. D. E. Catlin, Estimation, Control and the Discrete Kalman Filter, L. S. F. John, J.E. Marsden, Ed. Berlin: Springer-Verlag, 1989, vol. 71.
26. C. Shannon, "A mathematical theory of communication," Bell Systems Techical Journal, vol. 2,7, pp. 379-423,623-656, July and October 1948.
27. M. West, "Approximating posterior distributions by mixtures," Journal of Royal Statistical Society, Series B, vol. 55(2), pp. 409-442, 1993.
28. L. Stone, C. Barlow, and T. Corwin, Bayesian Multiple Target Tracking. Artech House, 1999.
29. N. J. Gordon, D. Salmond, and A. Smith, "Novel approach to nonlinear/non-Gaussian Bayesian state estimation," IEE Proceedings-F,, vol. 140(2), pp. 107-113, 1993.
30. S. Kumar, F. T. Ramos, B. Douillard, M. Ridley, and H. Durrant-Whyte, "A novel visual perception framework," in Proceedings of the 9th International Conference on Control, Automation, Robotics and Vision, (ICARCV '06), Singapore, December 2006, pp. 824-829.
31. S. Kumar, F. T. Ramos, B. Upcroft, and H. Durrant-Whyte, "A statistical framework for natural feature representation," in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots & Systems, Edmonton, Canada, 02 Aug. - 06 Aug 2005.
32. S. Julier, T. Bailey, and J. Uhlmann, "Using exponential mixture densities for suboptimal distributed data fusion," in The 1st IEEE Nonlinear Statistical Signal Processing Workshop (NSSPW '07), Cambridge, UK, 13 15 September 2006.