98 citations · 349 across the 25 of their papers we have counts for
6 papers · 1 filter
GHNet:Learning GNSS Heading from Velocity Measurements
Nitzan Dahan, Itzik Klein
By utilizing global navigation satellite system (GNSS) position and velocity measurements, the fusion between the GNSS and the inertial navigation system provides accurate and robu…
Leveraging Past DVL Velocity Measurements for Acceleration-Aided AUV Navigation
Nadav Cohen, Orzion Levy, Itzik Klein
Autonomous underwater vehicles (AUVs) commonly rely on the fusion of an inertial navigation system (INS) with a Doppler velocity log (DVL) through a nonlinear filter to maintain ac…
VIO-DualProNet: Visual-Inertial Odometry with Learning Based Process Noise Covariance
Dan Solodar, Itzik Klein
Visual-inertial odometry (VIO) is a vital technique used in robotics, augmented reality, and autonomous vehicles. It combines visual and inertial measurements to accurately estimat…
Parametric and State Estimation of Stationary MEMS-IMUs: A Tutorial
Daniel Engelsman, Yair Stolero, Itzik Klein
Inertial navigation systems (INS) are widely used in almost any operational environment, including aviation, marine, and land vehicles. Inertial measurements from accelerometers an…
Inertial Navigation Meets Deep Learning: A Survey of Current Trends and Future Directions
Nadav Cohen, Itzik Klein
Inertial sensing is used in many applications and platforms, ranging from day-to-day devices such as smartphones to very complex ones such as autonomous vehicles. In recent years,…
MissBeamNet: Learning Missing Doppler Velocity Log Beam Measurements
Mor Yona, Itzik Klein
One of the primary means of sea exploration is autonomous underwater vehicles (AUVs). To perform these tasks, AUVs must navigate the rough challenging sea environment. AUVs usually…