Department Seminar of Dr. Itzik Klein - received B.Sc. and M.Sc. degrees in Aerospace Engineering from the Technion
School of Mechanical Engineering Seminar
Wednesday May 10.5.2023 at 14:00
Wolfson Building of Mechanical Engineering, Room 206
Data-Driven Inertial Sensing and Navigation for Autonomous Platforms
Itzik Klein
received B.Sc. and M.Sc. degrees in Aerospace Engineering from the Technion
The purpose of navigation is to determine the position, velocity, and orientation of manned and autonomous platforms, humans, and animals. Obtaining accurate navigation commonly requires fusion between several sensors, such as inertial sensors and global navigation satellite systems, in a model-based nonlinear estimation framework. Recently, data-driven approaches applied in various fields show state-of-the-art performance, compared to model-based methods. In this talk we review multidisplinary data-driven inertial sensing and navigation algorithms developed and experimentally proven at the autonomous navigation and sensor fusion lab (ANSFL) including algorithms for different autonomous platforms, and multi-purpose navigation and fusion approaches. Data-driven inertial sensing topics included in this talk will highlight hybrid learning and end to end learning approaches for different platforms and applications.
Itzik Klein received B.Sc. and M.Sc. degrees in Aerospace Engineering from the Technion - Israel Institute of Technology, Haifa, Israel, in 2004 and 2007, respectively, and a Ph.D. degree in Geo-information Engineering from the Technion - Israel Institute of Technology, in 2011. He is currently an Assistant Professor, heading the Autonomous Navigation and Sensor Fusion Lab, at the Hatter Department of Marine Technologies, University of Haifa. He is an IEEE Senior Member and member of the IEEE journal of Indoor and Seamless Positioning and Navigation (J-ISPIN) Editorial Board. Prior to joining the University of Haifa, he worked at leading companies in Israel on navigation topics for more than 15 years. His research interests lie in the intersection of artificial intelligence, navigation, and sensor fusion.
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