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Fredrik Gustafsson

Fredrik Gustafsson

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Electronics and Electrical Engineering
Sweden
2026

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
85
Citations
32650
World Ranking
378
National Ranking
7

Research.com Recognitions

  • 2026 - Research.com Electronics and Electrical Engineering in Sweden Leader Award
  • 2025 - Research.com Electronics and Electrical Engineering in Sweden Leader Award
  • 2022 - Research.com Electronics and Electrical Engineering in Sweden Leader Award

Overview

Fredrik Gustafsson is a researcher affiliated with Linköping University in Sweden. Their work spans key areas of computer science and engineering, with a focus on artificial intelligence, computer vision and pattern recognition, control and systems engineering, and modeling and simulation.

Their research encompasses several main topics including:

  • Target tracking and data fusion in sensor networks
  • Fault detection and control systems
  • COVID-19 epidemiological studies
  • Control systems and identification
  • Anomaly detection techniques and applications
  • SARS-CoV-2 and COVID-19 research
  • Neural networks and applications

Fredrik Gustafsson has published extensively in various venues. Their frequent publication outlets include:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • IFAC-PapersOnLine
  • 2022 25th International Conference on Information Fusion (FUSION)
  • IEEE Transactions on Signal Processing

Some recent papers authored or co-authored by Gustafsson include:

  • "The effect of interventions on COVID-19" (2020) published in Nature
  • "Image Restoration with Mean-Reverting Stochastic Differential Equations" (2023) published in arXiv (Cornell University)
  • "Linear Quadratic Control Using Model-Free Reinforcement Learning" (2022) published in IEEE Transactions on Automatic Control
  • "Bayesian Cooperative Localization Using Received Signal Strength With Unknown Path Loss Exponent: Message Passing Approaches" (2020) published in IEEE Transactions on Signal Processing
  • "Localization in 3GPP LTE Based on One RTT and One TDOA Observation" (2020) published in IEEE Transactions on Vehicular Technology

Their collaborations include frequent co-authorship with researchers such as Thomas B. Schön, Gustaf Hendeby, Magnus Malmström, Isaac Skog, and Daniel Axehill, reflecting ongoing partnerships in related research areas.

Best Publications

  • Particle filters for positioning, navigation, and tracking

    F. Gustafsson;F. Gunnarsson;N. Bergman;U. Forssell

  • Adaptive filtering and change detection

    Fredrik Gustafsson

  • Mobile positioning using wireless networks: possibilities and fundamental limitations based on available wireless network measurements

    F. Gustafsson;F. Gunnarsson

  • Particle filter theory and practice with positioning applications

    F Gustafsson

  • Marginalized particle filters for mixed linear/nonlinear state-space models

    T. Schon;F. Gustafsson;P.-J. Nordlund

  • Slip-based tire-road friction estimation

    Fredrik Gustafsson

  • A unifying construction of orthonormal bases for system identification

    B. Ninness;F. Gustafsson

  • Determining the initial states in forward-backward filtering

    F. Gustafsson

  • On Resampling Algorithms for Particle Filters

    Jeroen D. Hol;Thomas B. Schon;Fredrik Gustafsson

  • Marginalized Particle Filters for Nonlinear State-space Models

    Thomas Schön;Fredrik Gustafsson;Per-Johan Nordlund

  • Statistical Sensor Fusion

    Fredrik Gustafsson

  • Some Relations Between Extended and Unscented Kalman Filters

    Fredrik Gustafsson;Gustaf Hendeby

  • Positioning using time-difference of arrival measurements

    F. Gustafsson;F. Gunnarsson

  • Network architecture, methods, and devices for a wireless communications network

    Stefan Parkvall;Janne Peisa;Gunnar Mildh;Robert Baldemair

  • Mobile Positioning Using Wireless Networks

    Fredrik Gustafsson;Fredrik Gunnarsson

  • Accurate and reliable soldier and first responder indoor positioning: multisensor systems and cooperative localization

    Jouni Rantakokko;Joakim Rydell;Peter Stromback;Peter Handel

  • A Student's t filter for heavy tailed process and measurement noise

    Michael Roth;Emre Ozkan;Fredrik Gustafsson

  • The Eighth Visual Object Tracking VOT2020 Challenge Results

    Matej Kristan;Aleš Leonardis;Jiří Matas;Michael Felsberg

  • Fingerprinting Localization in Wireless Networks Based on Received-Signal-Strength Measurements: A Case Study on WiMAX Networks

    M. Bshara;U. Orguner;F. Gustafsson;L. Van Biesen

  • Complexity analysis of the marginalized particle filter

    R. Karlsson;T. Schon;F. Gustafsson

Frequent Co-Authors

Fredrik Gunnarsson
Fredrik Gunnarsson Ericsson (Sweden)
Lennart Ljung
Lennart Ljung Linköping University
Abdelhak M. Zoubir
Abdelhak M. Zoubir Technical University of Darmstadt
Håkan Hjalmarsson
Håkan Hjalmarsson Royal Institute of Technology
Michel Verhaegen
Michel Verhaegen Delft University of Technology
Thor I. Fossen
Thor I. Fossen Norwegian University of Science and Technology
Tor Arne Johansen
Tor Arne Johansen Norwegian University of Science and Technology
Robert R. Bitmead
Robert R. Bitmead University of California, San Diego
Iven Mareels
Iven Mareels IBM (United States)

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