Low-cost inertial measurement units (IMUs) suffer from low sensitivity and high random walk
noise, which makes it challenging to use them directly for dead reckoning. Regular model …

Underwater vehicles heavily depend on the integration of inertial navigation with Doppler
Velocity Log (DVL) for fusion-based localization. Given the constraints imposed by sensor …

This paper presents a deep learning approach to estimate a projectile trajectory in a GNSS-
denied environment. For this purpose, Long-Short-Term-Memories (LSTMs) are trained on …

This paper presents a Deep Error State Kalman Filter (Deep ES-KF) to estimate a projectile
trajectory using only the embedded Inertial Measurement Unit (IMU) composed by a triaxial …

This paper proposes a novel extended Kalman filter (EKF) along with its adaptive variant for
effective magnetic, angular rate and gravity (MARG) sensor-only pose estimation of mobile …

This paper presents a performance evaluation analysis of the pose estimation problem for
mobile robots in extended Kalman filter (EKF) framework. Specifically, the pose estimation in …

Cet article présente un filtre de Kalman Étendu Imparfait Invarianta droite (Imp. R-IEKF) pour
estimer la trajectoire d'un projectile uniquementa partir de l'Unité de Mesure Inertielle (IMU) …

Pose estimation seeks to allow computers to calculate the pose of the human body through
the use of Unidades de medição inercial (IMU) sensors. For this reason, it has several uses …