Analytic Solution of ECV Filter with Position and Velocity Measurements. - Itzik Klein; Ilan Rusnak (IEEE Trans. Aerosp. Electron. Syst., 2012)

Observability Analysis of DVL/PS Aided INS for a Maneuvering AUV. - Itzik Klein; Roee Diamant (Sensors, 2015)

Tracking with asynchronous passive multisensor systems. - Itzik Klein; Yaakov Bar-Shalom (IEEE Trans. Aerosp. Electron. Syst., 2016)

Inertial Navigation System/Doppler Velocity Log (INS/DVL) Fusion with Partial DVL Measurements. - Asaf Tal; Itzik Klein; Reuven Katz (Sensors, 2017)

Gravity Direction Estimation and Heading Determination for Pedestrian Navigation. - Adi Manos; Itzik Klein; Tamir Hazan (IPIN, 2018)

Deep Learning based Estimation of Weaving Target Maneuvers. - Vitaly Shalumov; Itzik Klein (CoRR, 2018)

GNSS/INS Fusion with Virtual Lever-Arm Measurements. - Aviram Borko; Itzik Klein; Gilad Even-Tzur (Sensors, 2018)

Asynchronous Passive Multisensor System Observability With Unknown Sensor Position. - Itzik Klein; Yeshaya Lipman; Yaakov Bar-Shalom (IEEE Trans. Aerosp. Electron. Syst., 2018)

Analytic Evaluation of Fine Alignment for Velocity Aided INS. - Alexander Tsukerman; Itzik Klein (IEEE Trans. Aerosp. Electron. Syst., 2018)

Step-Length Estimation During Movement on Stairs. - Itzik Klein; Yaakov Libero (MED, 2019)

Feasibility Study of a Partial Gyro-Free Inertial Navigation System Mounted on a Ground Robot. - Hadar Zemer; Reut Sarel; Itzik Klein (MED, 2019)

Gravity-Based Methods for Heading Computation in Pedestrian Dead Reckoning. - Adi Manos; Itzik Klein; Tamir Hazan (Sensors, 2019)

Comparison Between Adaptive Extended Kalman Filters for INS Accurate Fine Alignment Process. - Itzik Klein; Ilan Rusnak; Yaakov Bar-Shalom (ENC, 2020)

StepNet - Deep Learning Approaches for Step Length Estimation. - Itzik Klein; Omri Asraf (IEEE Access, 2020)

Multiple Inertial Measurement Units-An Empirical Study. - Ariel Larey; Eliel Aknin; Itzik Klein (IEEE Access, 2020)

QDR: A Quadrotor Dead Reckoning Framework. - Artur Shurin; Itzik Klein (IEEE Access, 2020)

Smartphone Location Recognition: A Deep Learning-Based Approach. - Itzik Klein (Sensors, 2020)

MLCA - A Machine Learning Framework for INS Coarse Alignment. - Idan Zak; Reuven Katz; Itzik Klein (Sensors, 2020)

On the Influence of Home Appliances on the Smartphone's Inertial Sensors. - Shunit Truzman; Guy Revach; Itzik Klein (IEEE SENSORS, 2021)

Attitude and Heading Adaptive Estimation Using a Data Driven Approach. - Eran Vertzberger; Itzik Klein (IPIN, 2021)

Compensating for Partial Doppler Velocity Log Outages by Using Deep- Learning Approaches. - Mor Yona; Itzik Klein (ROSE, 2021)

INS Fine Alignment With Low-Cost Gyroscopes: Adaptive Filters for Different Measurement Types. - Itzik Klein; Yaakov Bar-Shalom (IEEE Access, 2021)

Boosting Inertial-Based Human Activity Recognition With Transformers. - Yoli Shavit; Itzik Klein (IEEE Access, 2021)

Smartphone Location Recognition with Unknown Modes in Deep Feature Space. - Nati Daniel; Felix Goldberg; Itzik Klein (Sensors, 2021)

INIM: Inertial Images Construction with Applications to Activity Recognition. - Nati Daniel; Itzik Klein (Sensors, 2021)

BOTNet: Deep Learning-Based Bearings-Only Tracking Using Multiple Passive Sensors. - Hadar Shalev; Itzik Klein (Sensors, 2021)

Kalman Filtering With Adaptive Step Size Using a Covariance-Based Criterion. - Barak Or; Ben-Zion Bobrovsky; Itzik Klein (IEEE Trans. Instrum. Meas., 2021)

Uncertainty in Data-Driven Kalman Filtering for Partially Known State-Space Models. - Itzik Klein; Guy Revach; Nir Shlezinger; Jonas E. Mehr; Ruud J. G. van Sloun; Yonina C. Eldar (ICASSP, 2022)

A Learning-Based Approach for Bias Elimination in Low-Cost Gyroscopes. - Daniel Engelsman; Itzik Klein (ROSE, 2022)

Adaptive Step Size Learning With Applications to Velocity Aided Inertial Navigation System. - Barak Or; Itzik Klein (IEEE Access, 2022)

The Autonomous Platforms Inertial Dataset. - Artur Shurin; Alex Saraev; Mor Yona; Yevgeni Gutnik; Sharon Farber; Aviad Etzion; Itzik Klein (IEEE Access, 2022)

MoRPI: Mobile Robot Pure Inertial Navigation. - Aviad Etzion; Itzik Klein (CoRR, 2022)

AG2U - Autonomous Grading Under Uncertainties. - Yakov Miron; Yuval Goldfracht; Chana Ross; Dotan Di Castro; Itzik Klein (CoRR, 2022)

Data-Driven Meets Navigation: Concepts, Models, and Experimental Validation. - Itzik Klein (CoRR, 2022)

LiBeamsNet: AUV Velocity Vector Estimation in Situations of Limited DVL Beam Measurements. - Nadav Cohen 002; Itzik Klein (CoRR, 2022)

A Hybrid Adaptive Velocity Aided Navigation Filter with Application to INS/DVL Fusion. - Barak Or; Itzik Klein (CoRR, 2022)

ProNet: Adaptive Process Noise Estimation for INS/DVL Fusion. - Barak Or; Itzik Klein (CoRR, 2022)

Set-Transformer BeamsNet for AUV Velocity Forecasting in Complete DVL Outage Scenarios. - Nadav Cohen 002; Zeev Yampolsky; Itzik Klein (CoRR, 2022)

BeamsNet: A data-driven approach enhancing Doppler velocity log measurements for autonomous underwater vehicle navigation. - Nadav Cohen 002; Itzik Klein (Eng. Appl. Artif. Intell., 2022)

QuadNet: A Hybrid Framework for Quadrotor Dead Reckoning. - Artur Shurin; Itzik Klein (Sensors, 2022)

Walking Direction Estimation Using Smartphone Sensors: A Deep Network-Based Framework. - Adi Manos; Tamir Hazan; Itzik Klein (IEEE Trans. Instrum. Meas., 2022)

A Hybrid Model and Learning-Based Adaptive Navigation Filter. - Barak Or; Itzik Klein (IEEE Trans. Instrum. Meas., 2022)

Adaptive Attitude Estimation Using a Hybrid Model-Learning Approach. - Eran Vertzberger; Itzik Klein (IEEE Trans. Instrum. Meas., 2022)

Outlier-Insensitive Kalman Filtering Using NUV Priors. - Shunit Truzman; Guy Revach; Nir Shlezinger; Itzik Klein (ICASSP, 2023)

Self-Supervised Monocular Depth Underwater. - Shlomi Amitai; Itzik Klein; Tali Treibitz (ICRA, 2023)

Information Aided Navigation: A Review. - Daniel Engelsman; Itzik Klein (CoRR, 2023)

Inertial Navigation Meets Deep Learning: A Survey of Current Trends and Future Directions. - Nadav Cohen 002; Itzik Klein (CoRR, 2023)

Parametric and State Estimation of Stationary MEMS-IMUs: A Tutorial. - Daniel Engelsman; Yair Stolero; Itzik Klein (CoRR, 2023)

INS/DVL Fusion with DVL Based Acceleration Measurements. - Orzion Levy; Itzik Klein (CoRR, 2023)

Outlier-Insensitive Kalman Filtering: Theory and Applications. - Shunit Truzman; Guy Revach; Nir Shlezinger; Itzik Klein (CoRR, 2023)

GHNet: Learning GNSS Heading from Velocity Measurements. - Nitzan Dahan; Itzik Klein (CoRR, 2023)

Quadrotor Dead Reckoning with Multiple Inertial Sensors. - Dror Hurwitz; Itzik Klein (CoRR, 2023)

Towards Learning-Based Gyrocompassing. - Daniel Engelsman; Itzik Klein (CoRR, 2023)

Learning vehicle trajectory uncertainty. - Barak Or; Itzik Klein (Eng. Appl. Artif. Intell., 2023)

Autonomous Dozer Sand Grading Under Localization Uncertainties. - Yakov Miron; Yuval Goldfracht; Chana Ross; Dotan Di Castro; Itzik Klein (IEEE Robotics Autom. Lett., 2023)

Information-Aided Inertial Navigation: A Review. - Daniel Engelsman; Itzik Klein (IEEE Trans. Instrum. Meas., 2023)

Virtual Beam Aided SINS/DVL Tightly Coupled Integration Method With Partial DVL Measurements. - Yiqing Yao; Xiang Xu 004; XiaoSu Xu 001; Itzik Klein (IEEE Trans. Veh. Technol., 2023)

Parametric and State Estimation of Stationary Inertial Sensors. - Daniel Engelsman; Yair Stolero; Itzik Klein (IEEE Access, 2024)

RCF-TP: Radar-Camera Fusion With Temporal Priors for 3D Object Detection. - Yakov Miron; Florian Drews; Florian Faion; Dotan Di Castro; Itzik Klein (IEEE Access, 2024)

A-KIT: Adaptive Kalman-Informed Transformer. - Nadav Cohen 002; Itzik Klein (CoRR, 2024)

DVL Calibration using Data-driven Methods. - Zeev Yampolsky; Itzik Klein (CoRR, 2024)

Data-Driven Strategies for Coping with Incomplete DVL Measurements. - Nadav Cohen 002; Itzik Klein (CoRR, 2024)

Underwater MEMS Gyrocompassing: A Virtual Testing Ground. - Daniel Engelsman; Itzik Klein (CoRR, 2024)

DoorINet: A Deep-Learning Inertial Framework for Door-Mounted IoT Applications. - Aleksei Zakharchenko; Sharon Farber; Itzik Klein (CoRR, 2024)

Multiple and Gyro-Free Inertial Datasets. - Zeev Yampolsky; Yair Stolero; Nitzan Pri-Hadash; Dan Solodar; Shira Massas; Itai Savin; Itzik Klein (CoRR, 2024)

Seamless Underwater Navigation with Limited Doppler Velocity Log Measurements. - Nadav Cohen 002; Itzik Klein (CoRR, 2024)

Pedestrian Inertial Navigation: An Overview of Model and Data-Driven Approaches. - Itzik Klein (CoRR, 2024)

Rapid Gyroscope Calibration: A Deep Learning Approach. - Yair Stolero; Itzik Klein (CoRR, 2024)

Decentralized and Asymmetric Multi-Agent Learning in Construction Sites. - Yakov Miron; Dan Navon; Yuval Goldfracht; Dotan Di Castro; Itzik Klein (CoRR, 2024)

DCNet: A Data-Driven Framework for DVL Calibration. - Zeev Yampolsky; Itzik Klein (CoRR, 2024)

Data-Driven Gyroscope Calibration. - Zeev Yampolsky; Itzik Klein (CoRR, 2024)

Snake-Inspired Mobile Robot Positioning with Hybrid Learning. - Aviad Etzion; Nadav Cohen 002; Orzion Levy; Zeev Yampolsky; Itzik Klein (CoRR, 2024)

VIO-DualProNet: Visual-inertial odometry with learning based process noise covariance. - Dan Solodar; Itzik Klein (Eng. Appl. Artif. Intell., 2024)

MissBeamNet: learning missing Doppler velocity log beam measurements. - Mor Yona; Itzik Klein (Neural Comput. Appl., 2024)

Augmented Virtual Filter for Multiple IMU Navigation. - Yaakov Libero; Itzik Klein (IEEE Trans. Instrum. Meas., 2024)

Gaussian Process Regression for Improved Underwater Navigation. - Nadav Cohen 002; Itzik Klein (PLANS, 2025)

On Neural Inertial Classification Networks for Pedestrian Activity Recognition. - Zeev Yampolsky; Ofir Kruzel; Victoria Khalfin Fekson; Itzik Klein (PLANS, 2025)

Adaptive Kalman-Informed Transformer. - Nadav Cohen 002; Itzik Klein (Eng. Appl. Artif. Intell., 2025)

Deep-Learning-Assisted Inertial Dead Reckoning and Fusion. - Dror Hurwitz; Nadav Cohen 002; Itzik Klein (IEEE Trans. Instrum. Meas., 2025)

Inspection Planning Under Execution Uncertainty. - Shmuel David Alpert; Kiril Solovey; Itzik Klein; Oren Salzman (IEEE Trans. Robotics, 2025)

Enhancement of Neural Inertial Regression Networks: A Data-Driven Perspective. - Victoria Khalfin Fekson; Nitsan Pri-Hadash; Netta Palez; Aviad Etzion; Itzik Klein (CoRR, 2025)

Quadrotor Neural Dead Reckoning in Periodic Trajectories. - Shira Massas; Itzik Klein (CoRR, 2025)

Adaptive Neural Unscented Kalman Filter. - Amit Levy; Itzik Klein (CoRR, 2025)

WMINet: A Wheel-Mounted Inertial Learning Approach For Mobile-Robot Positioning. - Gal Versano; Itzik Klein (CoRR, 2025)

AUV Acceleration Prediction Using DVL and Deep Learning. - Yair Stolero; Itzik Klein (CoRR, 2025)

Inertial-Based LQG Control: A New Look at Inverted Pendulum Stabilization. - Daniel Engelsman; Itzik Klein (CoRR, 2025)

A Data-Driven Method for INS/DVL Alignment. - Guy Damari; Itzik Klein (CoRR, 2025)

Enhancing Underwater Navigation through Cross-Correlation-Aware Deep INS/DVL Fusion. - Nadav Cohen 002; Itzik Klein (CoRR, 2025)

Design and Experimental Validation of an Autonomous USV for Sensor Fusion-Based Navigation in GNSS-Denied Environments. - Samuel Cohen-Salmon; Itzik Klein (CoRR, 2025)

Transformer-Based Robust Underwater Inertial Navigation in Prolonged Doppler Velocity Log Outages. - Zeev Yampolsky; Nadav Cohen 002; Itzik Klein (CoRR, 2025)

Diffusion-Driven Inertial Generated Data for Smartphone Location Classification. - Noa Cohen; Rotem Dror; Itzik Klein (CoRR, 2025)

Canine Clinical Gait Analysis for Orthopedic and Neurological Disorders: An Inertial Deep-Learning Approach. - Netta Palez; Léonie Straß; Sebastian Meller; Holger A. Volk; Anna Zamansky; Itzik Klein (CoRR, 2025)

C-ZUPT: Stationarity-Aided Aerial Hovering. - Daniel Engelsman; Itzik Klein (CoRR, 2025)

Unscented Kalman Filter with a Nonlinear Propagation Model for Navigation Applications. - Amit Levy; Itzik Klein (CoRR, 2025)

MoRPI-PINN: A Physics-Informed Framework for Mobile Robot Pure Inertial Navigation. - Arup Kumar Sahoo; Itzik Klein (CoRR, 2025)

Diffusion Denoiser-Aided Gyrocompassing. - Gershy Ben-Arie; Daniel Engelsman; Rotem Dror; Itzik Klein (CoRR, 2025)