46 citations · 106 across the 20 of their papers we have counts for
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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…