25th International Conference on Information Fusion (FUSION 2022)

  • 04-07 Jul 2022
  • Konsert & Kongress Linköping, Linkoping, Sweden


The 25th International Conference on Information Fusion (FUSION 2022) covers topics such as:

  • Modelling, simulation and evaluation
    Sensor modelling, Target modelling, Benchmarks, Simulation tools, Fusion performance modelling and evaluation, Test-beds and Evaluation of performance under uncertainty
  • Algorithms
    • Low Level Information Fusion: Detection, Data association, Tracking and localization, Registration, Classification and recognition
    • Pattern analysis, Feature extraction, Nonlinear filtering and smoothing, Behaviour modelling, Machine learning, Data mining, Multi-modal fusion and Reasoning under uncertainty
    • High Level Information Fusion: Process management, Multi-sensor fusion, Predictive and impact assessment, Situation assessment and Sensor resource management
  • Theory and representation
    Bayesian inference, Probability theory, Fuzzy logic, Fuzzy sets, Evidential reasoning, Dempster-Shafer, Logic based fusion, Belief functions, Vote, Preference aggregation, Neural networks, Random sets, Managing uncertainty and Ontology & category theory
  • Information fusion application areas
    Defence and intelligence, Sensor networks, Public security, Aerospace, Robotics and automation, Computer security, Logistics, Intelligent transportation, Manufacturing, Automotive, Environmental monitoring, Economics and financial and Medical care

The 25th International Conference on Information Fusion (FUSION 2022) will be held in Linkoping on 04-07 July 2022.


  • Konsert & Kongress Linköping , Konsistoriegatan 7, Linkoping, Sweden

More Details

300-480 Euro (Estimated)
ISIF - International Society of Information Fusion

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Please, check the official event website for possible changes, before making any traveling arrangements

Event Categories

Science: Computer Science, Engineering
Technology: Artificial Intelligence (AI), Data management, Imaging & Graphics, Remote sensing

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