A New Parameterless Credal Method to Track-to-Track Assignment Problem

Autor:	François Delmotte, David Mercier, Samir Hachour
Rok vydání:	2014
Předmět:	business.industry Association (object-oriented programming) Process (computing) Artificial intelligence Track (rail transport) business Assignment problem Algorithm k-nearest neighbors algorithm Mathematics
Zdroj:	Belief Functions: Theory and Applications ISBN: 9783319111902 Belief Functions
DOI:	10.1007/978-3-319-11191-9_44
Popis:	This paper deals with the association step in a multi-sensor multi-target tracking process. A new parameterless credal method for track-to-track assignment is proposed and compared with parameter-dependent methods, namely: the well known Global Nearest Neighbor algorithm (GNN) and a credal method recently proposed by Denœux et al.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::ef72cd66a0e700fe1b96b1ce98a7bfdd https://doi.org/10.1007/978-3-319-11191-9_44 Zobrazit plný text záznamu