In this paper, we propose some extensions of epistemic logic for reasoning about information fusion. The fusion operators considered in this paper include majority merging, arbitration, and general merging. Some modalities corresponding to these fusion operators are added to epistemic logics and the Kripke semantics of these extended logics are presented. While most existing approaches treat in...

This paper describes a distributed agent-based paradigm, for hybrid (soft and hard) computation involved in multisensor information (data) fusion. The computations are interpreted as the outcome arising out of deterministic, nondeterministic or stochastic interaction among the agents, in an environment containing multiple sensors. These interactions are like chemical reactions and the evolution...

Chemical and biological (CB) detection technologies have become more mature, and some are now available for operational use. As the sensor availability has increased, so too has the realization that the interpretation of the sensor output is nontrivial. The sensor data can be coupled with non-sensor information about the operational and environmental conditions prevailing at the time of the sen...

Information Fusion in Fingerprint Authentication By Arun Abraham Ross Although the problem of automatic fingerprint matching has been extensively studied, it is nevertheless, not a fully solved problem. In this thesis, an information fusion approach is adopted to address some of the limitations of existing fingerprint matching systems. A hybrid fingerprint system that utilizes both minutiae poi...

We extend continuous assurance research by proposing a novel continuous assurance architecture grounded in information fusion research. Existing continuous assurance architectures focus primarily on methods of monitoring assurance clients’ systems to detect anomalous activities and have not addressed the question of how to process the detected anomalies. Consequently, actual implementations of ...

In this paper we propose a novel approach for ascertaining human identity based on fusion of profile face and gait biometric cues The identification approach based on feature learning in PCA-LDA subspace, and classification using multivariate Bayesian classifiers allows significant improvement in recognition accuracy for low resolution surveillance video scenarios. The experimental evaluation o...

During the last decades, the steady increase in road transportation of people and goods has had a significant negative impact on traffic efficiency, safety, and the environment. The problems arising from the growing automobile usage have motivated researchers from all over the world to develop solutions – many of them based on information and communications technology – to reduce traffic conges...

The cooperative perception by an inter-vehicle network promises a multitude of improvements for advanced driver assistance systems. First, for the simultaneous estimation of the vehicle ego pose and the road network infrastructure, we propose a local, highly model-based fusion architecture for digital map and video information. Second, to extend the vehicle’s field of view, we include remote in...

The military domain is one of the purest possible game arenas, and history is full of examples of how mistakes in handling uncertainty about the opponent have had large consequences. For an entertaining selection, see, e.g., [16]. Commanders on each side have resources at their disposal, and want to use them to achieve their, mostly opposing, goals. In the network centric warfare [1, 2] era, th...

The paper describes an ongoing effort to build a demonstrator system where new ideas in information fusion may be tested and demonstrated. The motives behind this project, its system architecture and development process, and some of the fusion methods being developed for the system are briefly described.