Multisensor data fusion in the frame of the TBM on reals. Application to land vehicle positioning

2005 7th International Conference on Information Fusion, FUSION

Volumn 2, Issue , 2005, Pages 1473-1480

  Caron, François ^a   Smets, Philippe ^b   Duflos, Emmanuel ^a   Vanheeghe, Philippe ^a  

^a ECOLE CENTRALE DE LILLE   (France)

^b UNIVERSITÉ LIBRE DE BRUXELLES   (Belgium)

Author keywords

Credal inference; GPS; Multi sensor data fusion; Transferable belief model

Indexed keywords

COMPUTER SIMULATION; DATA REDUCTION; FAILURE ANALYSIS; GLOBAL POSITIONING SYSTEM; MATHEMATICAL MODELS; VEHICLE LOCATING SYSTEMS;

FIDUCIAL INFERENCE; LAND VEHICLE POSITIONING; TRANSFERABLE BELIEF MODEL (TBM);

SENSOR DATA FUSION;

EID: 33847144642     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIF.2005.1592029     Document Type: Conference Paper

References (18)

1. Ph. Smets. Imperfect information: Imprecision - uncertainty. In A. Motro and P. Smets, editors, Uncertainty in Information Systems: From Needs to Solutions, pages 225-254. Kluwer, Boston, MA., 1997.
2. Ph. Smets. Un modèle mathématico-statistique simulant le processus du diagnostic médical. Ph.d. thesis, Université Libre de Bruxelles, 1978.
3. Ph. Smets and R. Kennes. The transferable belief model. Artificial Intelligence, 66:191-234, 1994.
4. Ph. Smets. Data fusion in the transferable belief model. In Proc. 3rd Int. Conf. Information Fusion, pages PS 21-33. FUSION 2000, Paris, France, 2000.
5. Ph. Smets. Belief functions on real numbers. Int. J. Approximate Reasoning, 2004. Accepted.
6. R.A. Fisher. Inverse probability. In Proceedings of the Cambridge Philosophical society, volume 26, pages 528-535, 1930.
7. F. Hampel. The proper fiducial argument. Research report, Eidgenssische Technische Hochscule, Zurich, Switzerland, 2003.
8. D. Salome. Statistical inference via fiducial methods. PhD thesis, Rijksuniversiteit Groningen, 1998.
9. R.J. Buehler. Fiducial inference. R.A. Fisher: an appreciation. Lecture notes in statistics, 1980.
10. J. Kohlas and P.A. Monney. Statistical information and assumption-based inference. Discrete models. Technical report, Department of Informatics, University of Fribourg, Aout 2004.
11. J. Kohlas and P.A. Monney. Statistical information and assumption-based inference. Continuous models. Technical report, Department of Informatics, University of Fribourg, Aout 2004.
12. A.P. Dawid and M. Stone. The fonctional model basis for fiducial inference. Annals of Statistics, 10:1054-1074, 1982.
13. H. Bunke. Statistical inference: fiducial and structural vs likelihood. Mathematische Operationforschung Statistik, 6:667-676, 1975.
14. L. Liu. A theory of Gaussian belief functions. Int. J. of Approximate Reasoning, 14:95-126, 1996.
15. A.P. Dempster. Normal belief function and the Kalman filter. Research report, Dept of Statistics, Harvard University, Cambridge, MA, 1990.
16. Y.K. Tham, H. Wang, and E.K. Teoh. Multisensor fusion for steerable four-wheeled industrial vehicles. Control engineering practice, 7:1233-1248, 1999.
17. Ph. Smets and B. Ristic. Kalman filters and joint tracking and classification in the tbm framework. In Fusion04, editor, Proceedings of the Seventh International Conference on Information Fusion, pages IF04-0046, Stockholm, Sweden, 2004.
18. M.S. Grewal, L.R. Weill, and A.P. Andrews. Global positioning systems, inertial navigation, and integration. John Wiley-Son, 2001.