Recent developments in distributed particle filtering: Towards fast and accurate algorithms

IFAC Proceedings Volumes (IFAC-PapersOnline)

Volumn 1, Issue PART 1, 2009, Pages 138-143

  Simonetto, Andrea ^a   Keviczky, Tamás ^a  

^a DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

Consensus filters; Distributed computation; Distributed estimation algorithms; Distributed particle filters; General purpose GPU; Mobile robot tracking; Particle filters

Indexed keywords

CONSENSUS FILTER; DISTRIBUTED COMPUTATIONS; DISTRIBUTED ESTIMATION; DISTRIBUTED PARTICLE FILTER; GENERAL PURPOSE; MOBILE ROBOT TRACKING; PARTICLE FILTERS;

ALGORITHMS; ARTS COMPUTING; DISTRIBUTED COMPUTER SYSTEMS; ESTIMATION; FILTRATION; REAL TIME CONTROL; TARGET TRACKING;

NONLINEAR FILTERING;

EID: 79960945485     PISSN: 14746670     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3182/20090924-3-IT-4005.0039     Document Type: Conference Paper

References (21)

1. Arulampalam, M., Maskell, S., Gordon, N., and Clapp, T. (2002). A Tutorial on Particle Filters for Online Nonlinear/Non-Gaussian Bayesian Tracking. IEEE Transactions on Signal Processing, 50(2), 174-188. (Pubitemid 34291500)
2. Bashi, A.S., Jilkov, V.P., Li, X.R., and Chen, H. (2003). Distributed Implementations of Particle Filters. In Proceedings of the International Conference of Information Fusion, Cairns, Australia, July.
3. Bolić, M., Djurić, P.M., and Hong, S. (2005). Resampling algorithms and architectures for distributed particle filters. IEEE Transactions on Signal Processing, 53, 2442-2450. (Pubitemid 41166926)
4. Brun, O., Teuliere, V., and Garcia, J. (2002). Parallel Particle Filtering. Journal of Parallel and Distributed Computing, 62, 1186-1202.
5. Coates, M. (2004). Distributed Particle Filters for Sensor Networks. In The Third International Symposium on Information Processing in Sensor Networks, 99-107.
6. Gordon, N., Salmond, D., and Smith, A. (1993). Novel approach to nonlinear/non-Gaussian Bayesian state estimation. IEE-Proceedings-F, 140, 107-113.
7. Gu, D. (2007). Distributed Particle Filter for Target Tracking. In Proceedings of 2007 IEEE ICRA, Roma, Italy, 10-14 April.
8. Gu, D., Sun, J., Hu, Z., and Li, H. (2008). Consensus Based Distributed Particle Filter in Sensor Network. In Proceedings of the 2008 IEEE ICIA, June 20-23, Zhangjiajie, China.
9. Guo, D., Wang, X., and Chen, R. (2005). New Sequential Monte Carlo Methods for Nonlinear Dynamics Systems. Statistics and Computing, 15, 135-147. (Pubitemid 40551121)
10. Hendeby, G., Hol, J.D., Karlsson, R., and Gustafsson, F. (2007). A Graphics Processing Unit Implementation of the Particle Filter. Technical report, Automatic Control Reglerteknik, Linköping University.
11. Huang, Y., Liang, W., Yu, H., and Xiao, Y. (2008). Target tracking based on a distributed particle filter in underwater sensor networks. Wireless Communication and Mobile Computing, 8, 1023-1033.
12. Julier, S.J. and Uhlmann, J.K. (2004). Unscented Filtering and Nonlinear Estimation. Proceedings of IEEE, 93(3), 401-422. (Pubitemid 40890750)
13. Lang, L., Chen, W., Bakshi, B., Goel, P., and Ungarala, S. (2007). Bayesian estimation via sequential Monte Carlo sampling - Constrained dynamic systems. Automatica, 43, 1615-1622. (Pubitemid 47198207)
14. Lozano, O.M. and Otsuka, K. (2008). Real-time Visual Tracker by Stream Processing. Simultaneous and Fast 3D Tracking of Multiple Faces in Video Sequences by Using a Particle Filter. Journal of VLSI Signal Processing Systems.
15. Olfati-Saber, R. (2007). Distributed Kalman Filtering for Sensor Networks. In Proceedings of the 46th IEEE CDC 2007, San Diego, California.
16. Rao, C., Rawlings, J., and Mayne, D. (2003). Constrained State Estimation for Nonlinear Discrete-Time Systems: Stability and Moving Horizon Approximations. IEEE Transaction on Automatic Control, 48(2), 246-257.
17. Ren, W. and Beard, R. (2008). Distributed consensus in multi-vehicle cooperative control: theory and applications. Springer-Verlag London.
18. Rosencrantz, M., Gordon, G., and Thrun, S. (2003). Decentralized Sensor Fusion with Distributed Particle Filters. In Proceedings of the Conference of Uncertainty in Artificial Intelligence, Acapulco, Mexico.
19. Sheng, X. and Hu, Y. (2005). Distributed particle filters for wireless sensor network target tracking. In Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing.
20. Sheng, X., Hu, Y., and Ramanathan, P. (2005). 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.
21. Thrun, S., Burgard, W., and Fox, D. (2005). Probabilistic Robotics. The MIT Press.