We present a non-convex, partially observable solution for underwater vehicle localization,
referred to as the time difference of arrival target motion analysis (TD-TMA). TD-TMA is …

The rapidly growing number of objects encircling our planet is an increasing concern.
Collisions between these objects have already occurred and pose a potential threat in the …

This article presents a flexible modeling framework for multitarget tracking based on the
theory of outer probability measures. The notion of labeled uncertain finite set is introduced …

Bayesian filtering is a popular class of estimation algorithms for addressing the space object
tracking problem. Bayesian filters assume a random physical system with known statistics of …

Multi‐passive‐sensor systems are a common means for the target tracking and their
bearings processing is a prerequisite for stable control and nonlinear filtering. This study …

The admissible region method provides a reliable orbit initialization framework for space
objects with extremely limited observations. In general, the uncertainty of the admissible …

Bearings-only tracking using passive sensors is important for covert surveillance of moving
targets. This paper adopts a mathematical formulation of bearings-only tracking in the …

A novel solution to the smoothing problem for multi-object dynamical systems is proposed
and evaluated. The systems of interest contain an unknown and varying number of …

We present a modelling framework for multi-target tracking based on possibility theory and
illustrate its ability to account for the general lack of knowledge that the target-tracking …

This study considered the problem of multiple model estimation from the perspective of
sigma-max inference (probability-possibility inference), while focusing on discovering …