The 27th International Conference on Information Fusion (FUSION 2024) 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
Venue
San Giobbe Economics Campus ,
Fondamenta San Giobbe, Cannaregio 873, Venice, Italy
27th International Conference on Information Fusion (FUSION 2024) - 07-11 Jul 2024, San Giobbe Economics Campus, Venice, Italy (28357)
28th International Conference on Information Fusion (FUSION 2025) - 2025, (28358)
Past Events
26th International Conference on Information Fusion (FUSION 2023) - 27-30 Jun 2023, The Charleston Place, South Carolina, United States (14439)
Important
Please, check "International Conference on Information Fusion (FUSION)" official website for possible changes, before making any traveling arrangements
Event Categories
Science: Computer Science, Engineering
Technology: Artificial Intelligence (AI), Data management, Remote sensing