Robust approaches for the data association problem

2005 7th International Conference on Information Fusion, FUSION

Volumn 1, Issue , 2005, Pages 6-11

  Aissi, Hassene ^a   Vanderpooten, Daniel ^a   Vanpeperstraete, Jean Michel ^b  

^a UNIVERSITÉ PARIS DAUPHINE   (France)

^b THALES   (France)

Author keywords

[No Author keywords available]

Indexed keywords

FUNCTIONS; NUMERICAL ANALYSIS; PROBLEM SOLVING; TARGETS;

DATA ASSOCIATION; INTERVAL PROGRAMMING; MULTI-TARGET TRACKING; OBJECTIVE FUNCTION COEFFICIENTS;

TRACKING (POSITION);

EID: 33847144663     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIF.2005.1591918     Document Type: Conference Paper

References (19)

1. K. R. Pattipati, S. Deb, Y. Bar-Shalom, and R. Washburn, "A new relaxation algorithm and passive sensor data association," IEEE Trans. Automat. Contr., vol. 37, no. 2, pp. 198-213, 1992.
2. S. Deb, M. Yeddanapudi, K. Pattipati, and Y. Bar-Shalom, "A generalized s-d assignment algorithm for multisensor-multitarget state estimation," IEEE Trans. Aerosp. Electron. Syst., vol. 33, no. 2, pp. 523-537, 1997.
3. R. Robertson, "A set of greedy rounding randomized adaptative local search procedure (grasp) implementation for the multidimensional assignment problem," Computational Optimization and Applications, vol. 19, pp. 145-164, 2001.
4. M. Basseville, "A genetic algorithm based multi-dimensional data association algorithm for multi-sensor multi-target tracking," Mathematical and Computer Modelling, vol. 26, no. 4, pp. 57-69, 1997.
5. P. P. A. Storms and F. C. R. Spieksma, "An LP-based algorithm for the data association problem in multitarget tracking," Computers and Operations Research, vol. 30, no. 7, pp. 1067-1085, 2003.
6. D. L. Hall and J. Llinas, Handbook of multisensor data fusion. CRC Press, 2001.
7. J. B. Collins and J. K. Uhlmann, "Efficient gating in data association with multivariate distributed states," IEEE Trans. Aerosp. Electron. Syst., vol. 28, no. 3, pp. 909-916, 1992.
8. O. E. Karacan, M. C. Pinar, and H. Yaman, "Minimax regret solution to linear programming problems with interval objective function," Available from http://www.optimization-online.org, 2001.
9. P. Kouvelis and G. Yu, Robust Discrete Optimization and its Applications. Kluwer, Academic Publishers, 1997.
10. H. Yaman, O. E. Karajan, and M. C. Pinar, "The robust spanning tree problem with interval data," Operations Research Letters, vol. 29, pp. 31-40, 2001.
11. Y. Bar-Shalom and X. Li, Estimation and tracking: principles, techniques and software. Artech house INC., 1993.
12. D. L. Hall, Mathematical techniques in multisensor data fusion. Artech house INC., 1992.
13. K. Shimizu and E. Aiyoshi, "Necessary conditions for min-max problems and algorithms by relaxation procedure," IEEE Trans. Automat. Contr., vol. 25, pp. 62-66, 1980.
14. M. Inuiguchi and M. Sakawa, "Minimax regret solution to linear programming problems with interval objective function," European Journal of Operational Research, vol. 86, pp. 526-536, 1995.
15. M. E. Mausser and M. Laguna, "A heuristic to minimax absolute regret for linear programs with interval objective function coefficients," European Journal of Operational Research, vol. 117, pp. 157-174, 1998.
16. R. Popp, K. R. Pattipati, and Y. Bar-Shalom, "m-best s-d assignment algorithm with application to multitarget tracking," IEEE Trans. Automat. Contr., vol. 37, no. 1, pp. 22-37, 2001.
17. K. Murty, "An algorithm for ranking all assignments in order of increasing cost," Operations Research, vol. 16, pp. 682-687, 1968.
18. R. E. Steuer, Multiple criteria cptimization: theory, computation, and application. John Wiley and Sons, 1986.
19. M. Basseville, "Distance measures for signal processing and pattern recognitition," Signal Processing, vol. 18, pp. 349-369, 1989.