© 2015 IEEE. Finite-set statistics (FISST, a.k.a. random-set information fusion) was first systematically described in 2007 in the book Statistical Multisource-Multitarget Information Fusion. The purpose of this paper is to survey the most intriguing advnces in the field that have emerged in at least 19 nations since 2007, as reported in the 2014 sequel, Advances in Statistical Multisource-Multitarget Information Fusion and in other publications
The multiple hypothesis tracker (MHT) and finite set statistics (FISST) are two approaches to multit...
The study of random sets is a large and rapidly growing area with connections to many areas of math...
Multitarget tracking is the process of jointly determining the number of targets present and their s...
Abstract- Until recently, data fusion problems have been solved heuristically using fuzzy logic, rul...
Abstract—This tutorial paper describes the elements of a new, practical, Bayes-optimal, and theoreti...
This paper describes a theory of data fusion in random-set formalism. Data fusion problems are defin...
Random finite sets (RFSs) are natural representations of multi-target states and observations that a...
Comunicació presentada a la 11th International Conference on Information Fusion, celebrada a Colònia...
The multiple hypothesis tracker (MHT) has historically been considered a gold standard for multi-tar...
This paper is the investigation of the probability distributions of a finite random set in which the...
Abstract -This paper describes the application of finite set statistics (FISST) to real-time multipl...
International audienceThis short book provides a unified view of the history and theory of random se...
International audienceThe objective of this paper is to make a picture of the recent articles publis...
This tutorial paper summarizes the motivations, concepts and techniques of finite-set statistics (FI...
Stochastic geometry is a relatively new branch of mathematics. Although its predecessors such as geo...
The multiple hypothesis tracker (MHT) and finite set statistics (FISST) are two approaches to multit...
The study of random sets is a large and rapidly growing area with connections to many areas of math...
Multitarget tracking is the process of jointly determining the number of targets present and their s...
Abstract- Until recently, data fusion problems have been solved heuristically using fuzzy logic, rul...
Abstract—This tutorial paper describes the elements of a new, practical, Bayes-optimal, and theoreti...
This paper describes a theory of data fusion in random-set formalism. Data fusion problems are defin...
Random finite sets (RFSs) are natural representations of multi-target states and observations that a...
Comunicació presentada a la 11th International Conference on Information Fusion, celebrada a Colònia...
The multiple hypothesis tracker (MHT) has historically been considered a gold standard for multi-tar...
This paper is the investigation of the probability distributions of a finite random set in which the...
Abstract -This paper describes the application of finite set statistics (FISST) to real-time multipl...
International audienceThis short book provides a unified view of the history and theory of random se...
International audienceThe objective of this paper is to make a picture of the recent articles publis...
This tutorial paper summarizes the motivations, concepts and techniques of finite-set statistics (FI...
Stochastic geometry is a relatively new branch of mathematics. Although its predecessors such as geo...
The multiple hypothesis tracker (MHT) and finite set statistics (FISST) are two approaches to multit...
The study of random sets is a large and rapidly growing area with connections to many areas of math...
Multitarget tracking is the process of jointly determining the number of targets present and their s...