9 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…
Information-Aided DVL Calibration
Zeev Yampolsky, Itzik Klein
The Doppler velocity log (DVL) velocity measurements are critical to the accuracy of autonomous underwater vehicle (AUV) navigation solutions and, consequently, to mission success.…
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…
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…
On Neural Inertial Classification Networks for Pedestrian Activity Recognition
Zeev Yampolsky, Ofir Kruzel, Victoria Khalfin Fekson +1
Inertial sensors are crucial for recognizing pedestrian activity. Recent advances in deep learning have greatly improved inertial sensing performance and robustness. Different doma…