F
Florian Meyer
Researcher at University of California, San Diego
Publications - 100
Citations - 2211
Florian Meyer is an academic researcher from University of California, San Diego. The author has contributed to research in topics: Belief propagation & Factor graph. The author has an hindex of 22, co-authored 79 publications receiving 1488 citations. Previous affiliations of Florian Meyer include Massachusetts Institute of Technology & Scripps Institution of Oceanography.
Papers
More filters
Journal ArticleDOI
Message Passing Algorithms for Scalable Multitarget Tracking
Florian Meyer,Thomas Kropfreiter,Jason L. Williams,Roslyn A. Lau,Franz Hlawatsch,Paolo Braca,Moe Z. Win +6 more
TL;DR: This tutorial paper advocates a recently proposed paradigm for scalable multitarget tracking that is based on message passing or, more concretely, the loopy sum–product algorithm, which provides a highly effective, efficient, and scalable solution to the probabilistic data association problem, a major challenge in multitargettracking.
Journal ArticleDOI
A Scalable Algorithm for Tracking an Unknown Number of Targets Using Multiple Sensors
TL;DR: An algorithm for tracking an unknown number of targets based on measurements provided by multiple sensors that can outperform multisensor versions of the probability hypothesis density (PHD) filter, the cardinalized PHD filter, and the multi-Bernoulli filter.
Journal ArticleDOI
Distributed Localization and Tracking of Mobile Networks Including Noncooperative Objects
TL;DR: This work proposes a Bayesian method for distributed sequential localization of mobile networks composed of both cooperative agents and noncooperative objects that provides a consistent combination of cooperative self-localization (CS) and distributed tracking (DT).
Journal ArticleDOI
A Belief Propagation Algorithm for Multipath-Based SLAM
TL;DR: A Bayesian model of the SLAM problem is developed and represents it by a factor graph, which enables the use of belief propagation for efficient marginalization of the joint posterior distribution and the resulting BP-based SLAM algorithm detects the VAs associated with the PAs and estimates jointly the time-varying position of the mobile agent.
Journal ArticleDOI
Cooperative robotic networks for underwater surveillance: an overview
Gabriele Ferri,Andrea Munafo,Alessandra Tesei,Paolo Braca,Florian Meyer,Konstantinos Pelekanakis,Roberto Petroccia,Joao Alves,Christopher Strode,Kevin D. LePage +9 more
TL;DR: The main thrust of this study is to review the underwater surveillance scenario within a framework of four research areas: (i) underwater robotics, (ii) acoustic signal processing, (iii) tracking and distributed information fusion, and (iv) underwater communications networks.