Simultaneous localization and map** (SLAM) in dynamic environments is an important
problem in robotics navigation, yet it is less studied. In this paper, we present a novel …

The important problem of Simultaneous Localization and Map** (SLAM) in dynamic
environments is less studied than the counterpart problem in static settings. In this paper, we …

In recent years, multi‐extended‐targets detection in sea clutter has gained a special interest.
Dynamic programming based track‐before‐detect (DP‐TBD) algorithm is used to detect …

Deep space exploration utilizing high-orbit vehicles is a vital approach for extending beyond
near-Earth space, with orbit information serving as the foundation for all functional …

Dynamic network topology can pose important challenges to communication and control
protocols in networks of autonomous vehicles. For instance, maintaining connectivity is a …

The stochastic convergence of the cubature Kalman filter with intermittent observations
(CKFI) for general nonlinear stochastic systems is investigated. The Bernoulli distributed …

Deep space exploration has significant meaning both in science and economy; however, it
is very hard to obtain the relevant information due to its complexity. In this study, the …

We consider two nonlinear state estimation prob-lems in a setting where an extended
Kalman filter receives measurements from two sets of sensors via two channels (2C). In the …

A robust adaptive filter is proposed by using the variational Bayesian (VB) inference to
extended target tracking with heavy‐tailed noise in clutter. An explicit distribution is used to …

Target detection in infrared remote sensing images has important practical applications.
Among the current high‐performance methods, the deep learning‐based methods require …