Navigation/positioning systems have become critical to many applications, such as
autonomous driving, Internet of Things (IoT), Unmanned Aerial Vehicle (UAV), and smart …

To enhance the performance of the navigation system under the complex underwater
environment, a hybrid interacting multiple model (HIMM) aided inertial navigation system …

High-precision navigation solutions are a main requirement for autonomous vehicle (AV)
applications. Global navigation satellite systems (GNSSs) are the prime source of navigation …

For human navigation, the ultra wide band (UWB)-based positioning technologies require
extra infrastructure, while the inertial navigation system (INS)-based ones produce drift …

To mitigate the Doppler velocity logs (DVL) measurement errors in inertial navigation system
(INS)/DVL integrated navigation system under dynamic environment, a simple and precise …

Aiming to improve the position and velocity precision of the INS/GNSS system during GNSS
outages, a novel system that combines unscented Kalman filter (UKF) and nonlinear …

Benefiting from high mobility and robust mechanical structure, ground mobile robots are
widely adopted in the outdoor environment. The mobility of skid-steered mobile robots highly …

This paper concerns the application of Huber-based robust unscented Kalman filter
(HRUKF) in nonlinear system with non-Gaussian measurement noise. The tuning factor γ γ …

A priori state vector and error covariance computation for the Unscented Kalman Filter (UKF)
is described. The original UKF propagates multiple sigma points to compute the a priori …

Navigation and positioning of autonomous underwater vehicles (AUVs) in the complex and
changeable marine environment are crucial and challenging. For the positioning of AUVs …