CONDENSATION—Conditional Density Propagation forVisual Tracking
International Journal of Computer Vision
Millimeter Wave and Infrared Multisensor Design and Signal Processing
Millimeter Wave and Infrared Multisensor Design and Signal Processing
Mathematics of Data Fusion
Mediator-Based Evolutionary Design and Development of Image Meta-Analysis Environments
Journal of Intelligent Information Systems
HADES - A Knowledge-Based System for Message Interpretation and Situation Determination
IEA/AIE '98 Proceedings of the 11th International Conference on Industrial and Engineering Applications of Artificial In telligence and Expert Systems: Tasks and Methods in Applied Artificial Intelligence
Object-Oriented Software Engineering: A Use Case Driven Approach
Object-Oriented Software Engineering: A Use Case Driven Approach
Determining the Number of Clusters/Segments in Hierarchical Clustering/Segmentation Algorithms
ICTAI '04 Proceedings of the 16th IEEE International Conference on Tools with Artificial Intelligence
Clustering decomposed belief functions using generalized weights of conflict
International Journal of Approximate Reasoning
A blueprint for higher-level fusion systems
Information Fusion
Towards Situation Awareness in Integrated Air Defence Using Clustering and Case Based Reasoning
PReMI '09 Proceedings of the 3rd International Conference on Pattern Recognition and Machine Intelligence
Fusion of possibly biased location estimates using Gaussian mixture models
Information Fusion
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The Swedish Defence Research Agency (FOI) has developed a concept demonstrator called the Information Fusion Demonstrator 2003 (IFD03) for demonstrating information fusion methodology suitable for a future Network Based Defense (NBD) C4ISR system. The focus of the demonstrator is on real-time tactical intelligence processing at the division level in a ground warfare scenario. The demonstrator integrates novel force aggregation, particle filtering, and sensor allocation methods to create, dynamically update, and maintain components of a tactical situation picture. This is achieved by fusing physically modelled and numerically simulated sensor reports from several different sensor types with realistic a priori information sampled from both a high-resolution terrain model and an enemy organizational and behavioral model. This represents a key step toward the goal of creating in real time a dynamic, high fidelity representation of a moving battalion-sized organization, based on sensor data as well as a priori intelligence and terrain information, employing fusion, tracking, aggregation, and resource allocation methods all built on well-founded theories of uncertainty. The motives behind this project, the fusion methods developed for the system, as well as its scenario model and simulator architecture are described. The main services of the demonstrator are discussed and early experience from using the system is shared.