46 citations · 106 across the 20 of their papers we have counts for
7 papers · 2 filters
ResAlignNet: A Data-Driven Approach for INS/DVL Alignment
Guy Damari, Itzik Klein
Autonomous underwater vehicles rely on precise navigation systems that combine the inertial navigation system and the Doppler velocity log for successful missions in challenging en…
Adaptive Neural Unscented Kalman Filter
Amit Levy, Itzik Klein
The unscented Kalman filter is an algorithm capable of handling nonlinear scenarios. Uncertainty in process noise covariance may decrease the filter estimation performance or even…
Transformer-Based Robust Underwater Inertial Navigation in Prolonged Doppler Velocity Log Outages
Zeev Yampolsky, Nadav Cohen, Itzik Klein
Autonomous underwater vehicles (AUV) have a wide variety of applications in the marine domain, including exploration, surveying, and mapping. Their navigation systems rely heavily…
Enhancing Underwater Navigation through Cross-Correlation-Aware Deep INS/DVL Fusion
Nadav Cohen, Itzik Klein
The accurate navigation of autonomous underwater vehicles critically depends on the precision of Doppler velocity log (DVL) velocity measurements. Recent advancements in deep learn…
A Data-Driven Method for INS/DVL Alignment
Guy Damari, Itzik Klein
Autonomous underwater vehicles (AUVs) are sophisticated robotic platforms crucial for a wide range of applications. The accuracy of AUV navigation systems is critical to their succ…
AUV Acceleration Prediction Using DVL and Deep Learning
Yair Stolero, Itzik Klein
Autonomous underwater vehicles (AUVs) are essential for various applications, including oceanographic surveys, underwater mapping, and infrastructure inspections. Accurate and robu…
Gaussian Process Regression for Improved Underwater Navigation
Nadav Cohen, Itzik Klein
Accurate underwater navigation is a challenging task due to the absence of global navigation satellite system signals and the reliance on inertial navigation systems that suffer fr…