Data association in multi-target detection using the transferable belief model
- 7 September 2001
- journal article
- research article
- Published by Hindawi Limited in International Journal of Intelligent Systems
- Vol. 16 (10) , 1167-1182
- https://doi.org/10.1002/int.1054
Abstract
In the transferable belief model, a model for the quantified representation of beliefs, some masses can be allocated to the empty set. It reflects the conflict between the sources of information. This quantified conflict can be used in order to solve the problem of data association in a multi-target detection problem. We present and illustrate the procedure by studying an example based on the detection of submarines. Their number and the association of each sensor to a particular source are determined by the procedure. © 2001 John Wiley & Sons, Inc.Keywords
This publication has 5 references indexed in Scilit:
- The correlation problem in sensor fusion in a possibilistic frameworkInternational Journal of Intelligent Systems, 2001
- Fusion of symbolic knowledge and uncertain information in roboticsInternational Journal of Intelligent Systems, 2001
- Situation assessment based on spatially ambiguous multisensor measurementsInternational Journal of Intelligent Systems, 2001
- Application of the transferable belief model to diagnostic problemsInternational Journal of Intelligent Systems, 1998
- The transferable belief modelArtificial Intelligence, 1994