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