Electrical & Computer Engineering Colloquium
December 4, 2019 1:00 P.M.
Refreshments will be served
Bayesian Graph Signal Processing for Ocean Sciences
Laboratory for Information and Decision Systems (LIDS)
Massachusetts Institute of Technology
Abstract: A new era of pervasive data generation at sea is enabled by emerging sensing modalities and will pose new challenges to signal processing, data science, and robotics. For example, underwater robotic technology enables the development of advanced networks for underwater localization and mapping, and over-the-horizon radar sensors can dramatically increase the coverage of maritime situational awareness. Bayesian graph signal processing is a promising approach that can yield innovative signal processing solutions. Based on this approach, we developed a holistic framework and methodology for multi-object tracking from multiple data sources that is particularly appealing for ocean sciences. For the first time, filtering and data association for randomly appearing and disappearing multiple objects are described by a joint graph. The estimation method developed on this graph can outperform existing algorithms in terms of detection and tracking performance, computational complexity, scalability, and versatility. An extension of this algorithm is able to learn unknown environmental parameters online. This talk gives an introduction to graph-based multi-object tracking and discusses the capabilities of graph-based algorithms in different maritime surveillance scenarios.
Bio: Florian Meyer received the M.Sc. and Ph.D. degrees in electrical engineering from Technische Universität Wien, Vienna, Austria in 2011 and 2015, respectively. He is currently an Erwin Schrödinger Fellow with the Laboratory for Information and Decision Systems (LIDS), Massachusetts Institute of Technology, Cambridge, MA, USA. In 2016-2017, he was a research scientist with the NATO Centre for Maritime Research and Experimentation, La Spezia, Italy. Dr. Meyer served as a technical program committee member of several IEEE conferences and as a co-chair of the IEEE Workshop on Advances in Network Localization and Navigation at the IEEE International Conference on Communications in 2018 and 2019. He is an Associate Editor for the ISIF Journal of Advances in Information Fusion. In 2020 Dr. Meyer will join UC San Diego as Assistant Professor in Applied Ocean Sciences.