The underwater navigation system, mainly consisting of MEMS inertial sensors, is a key
technology for the wide application of underwater gliders and plays an important role in …

This paper presents a particle filter algorithm for distance estimation using multiple antennas
on the receiver's side and only one transmitter, where a received signal strength indicator …

In this paper, a distributed interacting multiple model-based fault detection and isolation
(FDI) scheme is presented for FDI of navigation sensors composed of inertial …

In this paper, the problem of simultaneous localization and mapping (SLAM) using a
modified Rao Blackwellized Particle Filter (RBPF)(a modified FastSLAM) is developed for a …

For industrial processes, the state estimation plays a key role in various applications, such
as process monitoring and model based control. Although the particle filter (PF) is able to …

In this paper, the dynamic performance of a Kalman filter (KF) was analyzed, which is used
to combine multiple measurements of a gyroscopes array to reduce the noise and improve …

For many decades, state estimation (SE) has been a critical technology for energy
management systems utilized by power system operators. Over time, it has become a …

Background Continuous curvilinear capsulorhexis (CCC) requires surgeons to manipulate
fragile eye tissue at the microscale. The limited perceptual accuracy of surgeons makes it …

In this paper, the problem of attitude estimation of a quad-copter system equipped with a
multi-rate camera and gyroscope sensors is addressed through extension of a sampling …

Recent advances in autonomous and robotic systems have stimulated developments of
sensors used in these systems for the perception of both external to the system environment …