fusion 2010 - 13th International Conference on Information Fusion
Date2010-07-26
Deadline2010-04-06
VenueEdinburgh, UK - United Kingdom
Keywords
Websitehttps://www.fusion2010.org
Topics/Call fo Papers
Fusion 2010 will cover the fusion of structured and unstructured data from heterogeneous sources, a process which enables people and organisations to make informed decisions through high quality knowledge.
Topics of interest include but are not limited to the following:
1. Methodologies:
1.1 probability theory
1.2 Bayesian inference (including particle filters, MCMC and other non-numeric approximation schemes)
1.3 fuzzy sets and fuzzy logic
1.4 Dempster- Shafer, evidential reasoning, brief functions, logic-based fusion and preference aggregation
1.5 random sets, including Finite Set Statistics (FISST)
2. Algorithmic Domains:
2.1 registration (inc Data Registration, Sensor Data Registration)
2.2 Detection and signal processing (inc Localization)
2.3 automatic target recognition and classification
2.4 nonlinear filtering, tracking and data association (inc Feature-aided Tracking, Hard Soft Data Fusion, Target Tracking, extended object and group tracking, combined detection and tracking)
2.5 Automated situation assessment, prediction, pattern and behavioral analysis (inc Anomaly Detection, Behavior modeling, Higher Level Fusion, Impact Assessment, Pattern Analysis, Predictive and Impact assessment, Situation Assessment, Threat Assessment)
2.6 distributed fusion
2.7 process and sensor resource management, including UAV planning
3. Solution Paradigms
3.1 sequential inference (inc Nonlinear Filtering and Smoothing)
3.2 data mining
3.3 machine learning (including neural networks)
3.4 ontologies (inc Ontology and Category Theory)
4. Sensor Specific Processing and Fusion
4.1 imagery and video (including computer vision, image fusion, image processing)
4.2 radar (inc Active Data Fusion)
4.3 passive sensors
5. Modelling, Simulation and Evaluation:
5.1 target and sensor modelling
5.2 benchmarks
5.3 test beds (inc Simulation Tools)
5.4 fusion performance modeling and evaluation (inc Cramér-Rao Bound, Fusion Performance Evaluation, Fusion Performance Modeling)
6. Application Domains
6.1 distributed sensor networks
6.2 defence and intelligence (inc Chemical, Biological, Radiological and Nuclear (CBRN) Detection/Classification)
6.3 security (inc Computer Security, Database Fusion, Public Security)
6.4 robotics (inc Robotics and Automation)
6.5 transportation and logistics (inc Aerospace, Automotive, Intelligent Transportation)
6.6 economics and financial
6.7 environmental and medical
Topics of interest include but are not limited to the following:
1. Methodologies:
1.1 probability theory
1.2 Bayesian inference (including particle filters, MCMC and other non-numeric approximation schemes)
1.3 fuzzy sets and fuzzy logic
1.4 Dempster- Shafer, evidential reasoning, brief functions, logic-based fusion and preference aggregation
1.5 random sets, including Finite Set Statistics (FISST)
2. Algorithmic Domains:
2.1 registration (inc Data Registration, Sensor Data Registration)
2.2 Detection and signal processing (inc Localization)
2.3 automatic target recognition and classification
2.4 nonlinear filtering, tracking and data association (inc Feature-aided Tracking, Hard Soft Data Fusion, Target Tracking, extended object and group tracking, combined detection and tracking)
2.5 Automated situation assessment, prediction, pattern and behavioral analysis (inc Anomaly Detection, Behavior modeling, Higher Level Fusion, Impact Assessment, Pattern Analysis, Predictive and Impact assessment, Situation Assessment, Threat Assessment)
2.6 distributed fusion
2.7 process and sensor resource management, including UAV planning
3. Solution Paradigms
3.1 sequential inference (inc Nonlinear Filtering and Smoothing)
3.2 data mining
3.3 machine learning (including neural networks)
3.4 ontologies (inc Ontology and Category Theory)
4. Sensor Specific Processing and Fusion
4.1 imagery and video (including computer vision, image fusion, image processing)
4.2 radar (inc Active Data Fusion)
4.3 passive sensors
5. Modelling, Simulation and Evaluation:
5.1 target and sensor modelling
5.2 benchmarks
5.3 test beds (inc Simulation Tools)
5.4 fusion performance modeling and evaluation (inc Cramér-Rao Bound, Fusion Performance Evaluation, Fusion Performance Modeling)
6. Application Domains
6.1 distributed sensor networks
6.2 defence and intelligence (inc Chemical, Biological, Radiological and Nuclear (CBRN) Detection/Classification)
6.3 security (inc Computer Security, Database Fusion, Public Security)
6.4 robotics (inc Robotics and Automation)
6.5 transportation and logistics (inc Aerospace, Automotive, Intelligent Transportation)
6.6 economics and financial
6.7 environmental and medical
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Last modified: 2010-07-19 00:50:51