46 citations · 89 across the 12 of their papers we have counts for
12 papers
BLENDS: Bayesian Learning-Enhanced Deep Smoothing for GNSS-Denied Environments
Nadav Cohen, Itzik Klein
Maintaining accurate navigation during GNSS outages remains a significant challenge for autonomous systems relying on low-cost inertial sensors. While classical smoothing methods,…
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…
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…
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…
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…
Snake-Inspired Mobile Robot Positioning with Hybrid Learning
Aviad Etzion, Nadav Cohen, Orzion Levy +2
Mobile robots are used in various fields, from deliveries to search and rescue applications. Different types of sensors are mounted on the robot to provide accurate navigation and,…
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…
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…