With the proliferation of sensor technology and ever-increasing amounts of data generated, Information Fusion is critical for combining noisy and possibly conflicting observations from various sensors and actors into actionable, coherent information about the underlying situation. The 27th International Conference on Information Fusion thus is soliciting papers from researchers and practitioners from academia, industry, and government agencies that explore traditional model-based and emerging data-driven autonomous methodologies on sensor, data, information and knowledge fusion, new system frameworks, hybrid processing techniques, and the associated challenges at the systemic level, including system design paradigms and issues of system control, management, test, and evaluation.
All papers must be original and not simultaneously submitted to another journal or conference. Full Papers (between 5 and 8 pages) will be reviewed for acceptance in one or more of the following topics, typically involving some aspect of information, data or sensor fusion. Papers must conform to specifications in templates provided by IEEE at https://www.ieee.org/conferences/publishing/templates.html to be considered for acceptance and publication.
The topics below are to be read within the context of sensor fusion and/or data fusion and/or information fusion.
Topics of interest include but are not limited to:
Probability theory, Bayesian inference, statistical-relational learning, representation learning, graph-based fusion models (both graph neural networks and shallow models), argumentation, Dempster-Shafer theory, possibility and fuzzy set theory, rough sets, knowledge representation and reasoning, ontologies/semantics, logic-based representations, decision theory, random sets, finite point processes and others.
Multi-modal information fusion (e.g., image, video, audio, text etc.), machine learning and artificial intelligence, soft fusion/natural language processing and Large Language Models, cognitive methods, sequential inference, data mining, pattern/behavioral analysis, signal processing and localization, recognition, classification, identification, nonlinear filtering, data association, tracking, prediction, situation/impact assessment, alignment and registration, fusion architectures, resource management (incl. reinforcement learning for resource management and fusion process refinement), contextual adaptation, anomaly/change/novelty detection.
Soft-hard fusion, autonomous systems (incl. autonomous vehicles and drones), distributed systems, cloud/edge computing/fusion, defense/security, robotics, aerospace, intelligent transportation, mining/manufacturing, environmental monitoring, earth observation/satellite monitoring, climate monitoring, precision agriculture, disaster response, wireless sensor networks, economics, fintech, e-health, bioinformatics, critical infrastructure protection, condition monitoring, video streaming, embodied AI, and other emerging applications. Integrated system design challenges and aspects of system control, management, and realization of synergistic behavior with Information Fusion and system processes.
User refinement/human-in-the-loop fusion (incorporating human input and feedback into the fusion process) and intelligent user interfaces for fusion systems, information fusion for decision support.
Trust in fusion systems, explainability and uncertainty of fusion processes, computational methods, formal methods for fusion performance, benchmarks/testbeds.
(Notification of Acceptance 15 Feb.)
(Notification of Acceptance 1st May)
(Notification of acceptance 15th March)
FUSION 2024 proceedings will be published by the IEEE in the IEEE Xplore® Digital Library and will be Scopus and WoS indexed.