Name
Abstract | ||
|---|---|---|
The data association problem consists of associating pieces of information emanating from different sources in order to obtain
a better description of the situation under study. This problem arises, in particular, when, considering several sensors,
we aim at associating the measures corresponding to a same target. This problem, widely studied in the literature, is often
stated as a multidimensional assignment problem where a state criterion is optimized. While this approach seems satisfactory
in simple situations where the risk of confusing targets is relatively low, it is much more difficult to get a correct description
in denser situations. This is why, we propose, for the first time to our knowledge, to address this problem in a multiple
criteria framework using a second complementary criterion, based on the identification of the targets. Due to the specificities
of the problem, simple and efficient approaches can be used to generate non-dominated solutions. Moreover, we show that the
accuracy of the proposed solutions is greatly increased when considering a second criterion. A bi-criteria interactive procedure
is also introduced to assist an operator in solving conflicting situations. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/s10479-006-0069-9 | Annals OR |
Keywords | DocType | Volume |
Data association,Bi-criteria optimization,Multidimensional assignment problem,Interactive procedure | Journal | 147 |
Issue | ISSN | Citations |
1 | 0254-5330 | 0 |
PageRank | References | Authors |
0.34 | 4 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hadrien Hugot | 1 | 47 | 3.25 |
| Daniel Vanderpooten | 2 | 1153 | 74.66 |
| Jean Michel Vanpeperstraete | 3 | 1 | 0.82 |