Florian Meyer

Florian Meyer is an Associate Professor in the Department of Electrical and Computer Engineering at the University of California, San Diego. His research focuses on statistical signal processing for navigation, mapping, and multiobject tracking, with applications in maritime situational awareness, autonomous driving, and indoor localization. Meyer's work involves high-dimensional and nonlinear estimation using graphical models, enabling the combination of information from heterogeneous sensors. He has developed techniques evaluated on robotic platforms and various sensing technologies. Meyer joined UC San Diego in 2020 after serving as a Postdoctoral Fellow at MIT's Laboratory for Information and Decision Systems.

Florian Meyer is an associate professor at the University of California San Diego, specializing in Statistical Signal Processing, Graphical Models, Inverse Problems, Tracking, and SLAM. His research focuses on developing scalable algorithms for multitarget tracking, multipath-based SLAM, and distributed localization. Meyer's work includes belief propagation methods for multi-sensor systems, cooperative robotic networks, and efficient multisensor localization for the Internet of Things. His publications explore scalable data association, extended object tracking, and situational awareness in millimeter wave systems. His research emphasizes the integration of probabilistic models with real-world applications in signal processing and robotics.