46 citations · 106 across the 20 of their papers we have counts for
20 papers
A Unified Neural-Aided Alignment and Calibration Method for AUVs
Guy Damari, Zeev Yampolsky, Itzik Klein
Autonomous underwater vehicles (AUVs) rely on the fusion of inertial navigation systems (INS) and Doppler velocity logs (DVL) for accurate navigation. Before deployment, this fusio…
AI-Aided Advancements in Autonomous Underwater Vehicle Navigation
Guy Damari, Zeev Yampolsky, Nadav Cohen +4
Autonomous underwater vehicles (AUVs) have become indispensable for deep-sea exploration, spanning critical scientific research and commercial applications. The rapid attenuation o…
Neural-Assisted in-Motion Self-Heading Alignment
Zeev Yampolsky, Felipe O. Silva, Adriano Frutuoso +1
Autonomous platforms operating in the oceans require accurate navigation to successfully complete their mission. In this regard, the initial heading estimation accuracy and the tim…
Bayesian Learning-Enhanced Navigation with Deep Smoothing for Inertial-Aided Navigation
Nadav Cohen, Itzik Klein
Accurate post-processing navigation is essential for applications such as survey and mapping, where the full measurement history can be exploited to refine past state estimates. Fi…
Dual-Branch INS/GNSS Fusion with Inequality and Equality Constraints
Mor Levenhar, Itzik Klein
Reliable vehicle navigation in urban environments remains a challenging problem due to frequent satellite signal blockages caused by tall buildings and complex infrastructure. Whil…
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…
Performance Analysis of Spatial and Temporal Learning Networks in the Presence of DVL Noise
Rajini Makam, Nadav Cohen, Sumukh Shadakshari +3
Navigation is a critical aspect of autonomous underwater vehicles (AUVs) operating in complex underwater environments. Since global navigation satellite system (GNSS) signals are u…
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…
DCNet: A Data-Driven Framework for DVL Calibration
Zeev Yampolsky, Itzik Klein
Autonomous underwater vehicles (AUVs) are underwater robotic platforms used in a variety of applications. An AUV's navigation solution relies heavily on the fusion of inertial sens…
Deep Learning Assisted Inertial Dead Reckoning and Fusion
Dror Hurwitz, Nadav Cohen, Itzik Klein
The interest in mobile platforms across a variety of applications has increased significantly in recent years. One of the reasons is the ability to achieve accurate navigation by u…
Seamless Underwater Navigation with Limited Doppler Velocity Log Measurements
Nadav Cohen, Itzik Klein
Autonomous Underwater Vehicles (AUVs) commonly utilize an inertial navigation system (INS) and a Doppler velocity log (DVL) for underwater navigation. To that end, their measuremen…
Data-Driven Strategies for Coping with Incomplete DVL Measurements
Nadav Cohen, Itzik Klein
Autonomous underwater vehicles are specialized platforms engineered for deep underwater operations. Critical to their functionality is autonomous navigation, typically relying on a…
DVL Calibration using Data-driven Methods
Zeev Yampolsky, Itzik Klein
Autonomous underwater vehicles (AUVs) are used in a wide range of underwater applications, ranging from seafloor mapping to industrial operations. While underwater, the AUV navigat…
Adaptive Kalman-Informed Transformer
Nadav Cohen, Itzik Klein
The extended Kalman filter (EKF) is a widely adopted method for sensor fusion in navigation applications. A crucial aspect of the EKF is the online determination of the process noi…
Quadrotor Dead Reckoning with Multiple Inertial Sensors
Dror Hurwitz, Itzik Klein
Quadrotors are widely used for surveillance, mapping, and deliveries. In several scenarios the quadrotor operates in pure inertial navigation mode resulting in a navigation solutio…