10 citations · 21 across the 12 of their papers we have counts for
12 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…
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,…
Data-Driven Gyroscope Calibration
Zeev Yampolsky, Itzik Klein
Gyroscopes are inertial sensors that measure the angular velocity of the platforms to which they are attached. To estimate the gyroscope deterministic error terms prior mission sta…
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…
Multiple and Gyro-Free Inertial Datasets
Zeev Yampolsky, Yair Stolero, Nitzan Pri-Hadash +4
An inertial navigation system (INS) utilizes three orthogonal accelerometers and gyroscopes to determine platform position, velocity, and orientation. There are countless applicati…
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…
Set-Transformer BeamsNet for AUV Velocity Forecasting in Complete DVL Outage Scenarios
Nadav Cohen, Zeev Yampolsky, Itzik Klein
Autonomous underwater vehicles (AUVs) are regularly used for deep ocean applications. Commonly, the autonomous navigation task is carried out by a fusion between two sensors: the i…