The Impact of the Quality Assessment of Optimal Assignment for Data Association in a Multitarget Tracking Context

Cybernetics and Information Technologies

Konstantinova P.¹  Tchamova A.²  Dezert J.³ 

[1] European Polytechnical University, Pernik, Bulgaria;Institute of Informations and Communication Technologies, BAS, 1113 Sofia, Bulgaria;The French Aerospace Lab, Chemin de la Huniere, F-91761 Palaiseau, France;

关键词: data association;    belief functions;    pcr6 fusion rule;    multitarget tracking;   

DOI  :  10.1515/cait-2015-0092

来源: DOAJ

【 摘 要 】

The main purpose of this paper is to apply and to test the performance of a new method, based on belief functions, proposed by Dezert et al. in order to evaluate the quality of the individual association pairings provided in the optimal data association solution for improving the performances of multisensor-multitarget tracking systems. The advantages of its implementation in an illustrative realistic surveillance context, when some of the association decisions are unreliable and doubtful and lead to potentially critical mistake, are discussed. A comparison with the results obtained on the base of Generalized Data Association is made.

【 授权许可】

Unknown