The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
There are multiple types of information which can be extracted from sensor actions and which affect the fusion of sensor data. Some information can be anticipated in the form of predicting which information will maximally reduce our uncertainty about a random variable, and some of it is after-the-fact and can be used to change the quality of fusion by, for example, selecting different state estimator...
The military resource management problem involves timely distribution and placement of materiel, personnel, and sensor assets to accommodate mission requirements throughout the world. The resource management problem of today's US military is perhaps the largest and most complex optimization problem in terms of the number of variables representing various resource types and constraints relating the...
Process refinement or feedback is a key component of any closed loop system. Fusion models are no exception. In this paper we explore what process refinement means in terms of the higher levels of fusion. In doing so we further refine the existing definitions of the various levels (as defined by the joint director of laboratories, JDL) and based on these definitions we discuss how each of these levels...
Up to now, especially in a land force environment, the processing of intelligence is uncoupled from its sources and their underlying information collection and data acquisition processes. We describe the heuristic organisation of collection of information for intelligence and show that the knowledge which is implemented into automated knowledge based fusion functions for analysis and integration perfectly...
Sensor resource management is usually formulated as an optimization problem under uncertainty. We use a decision-theoretic model to show that the objective function should not be just tracking or target identification performance. Instead, it should represent the expected value of the outcome from using the collected data. This outcome depends on how the collected data and fusion results are used...
This panel position paper addresses issues and challenges of resource management (facilitating adaptive and automatic information fusion) and identifies the necessary interaction with levels 2 and 3 components of "information fusion". Starting with the definitions of fusion levels, implicit and explicit interactions among the levels are examined from several perspectives: identifying commensurate...
In the last few years, the cultural heritage field has posed its attention over image processing techniques, in particular for the diagnostic of art works. Many different images of the same painting are taken, in different parts of the light spectrum; these different images have to be fused together, to get an augmented image showing much more details and information which are only visible in some...
This paper presents fusion of real-time images and data from various sensors for on-line surgical planning as integrated in a non-invasive surgical robotic system. High intensity focused ultrasound (HIFU) is used as a treatment modality while on-line images are acquired using diagnostic ultrasound and registered with the proprioceptive sensors of a customized robotic system for ablative procedures...
In this paper a mapping between retail concepts and the JDL model is proposed. More specifically, the benefits of using solutions to military problems as inspiration to retail specific problems are discussed. The somewhat surprising conclusion is that there are several similarities between the military and retail domains, and that these similarities potentially could be exploited. A few examples of...
Novel concept of sensor fusion algorithms implementation are proposed. While the algorithmic design is tested and implemented in generic software on a Windows PC, a first single ASIC implementation of the sensor fusion is being readied for the marketplace. A novel optical approach is suggested for a hand-held or goggle sensor fusion implementation. Together with a fusion ASIC, the proposed approach...
This paper considers the problem tracking a moving target in a multisensor environment using distributed particle filters (DPFs). Particle filters have a great potential for solving highly nonlinear and non-Gaussian estimation problems, in which the traditional Kalman filter (KF) and extended Kalman filter (EKF) generally fail. How ever, in a sensor network, the implementation of distributed particle...
Revisions to the JDL model by the current DFIG team (data fusion information group) include definitions for model usefulness that stressed various control functions of sensor, user, and mission (SUM) management. The purpose of the paper is to highlight issues and challenges to real world separation of control actions. This position paper highlights: 1) addressing the user in system management/control,...
The estimation of sonar system performance in uncertain environments requires the transfer of sound speed, bathymetric and sea surface uncertainty to propagation uncertainty. Currently, methods of estimating the transfer of environmental uncertainty have been based on Monte Carlo simulation of acoustic propagation through an ensemble of environments, or on simplifying assumptions about the physics...
Fusion is basically extraction of best of inputs and conveying it to the output. In this paper, we present an image fusion technique using the dual tree complex wavelet transform (DTCWT). We have proposed novel masks to extract information from the decomposed structure using DTCWT. The main goal of this paper is to introduce a new approach to fuse multimodality images using dual tree complex wavelet...
We consider in this paper local sensor quantizer design for large-scale bandwidth and/or energy constrained wireless sensor networks (WSNs) operating in fading channels. In particular, under the Neyman-Pears on framework, we address the design of binary local sensor quantizers for a binary hypothesis problem in the asymptotic regime where the number of sensors is large. Motivated by the sensor censoring...
Knowledge management for distributed-tracking (KMDT) is a U.S. Naval research and development project to improve military-communications and information functions in the battle space. These functions include command, control, data fusion, and decision support. It features a scenario for modeling and simulation that shows how knowledge-management technologies, such as ontologies and intelligent agents...
Our work deals with the assessment of the quality of multimodal images synthesized at a better spatial resolution by the means of another image having such a resolution. In absence of reference images, the current protocols recommend to degrade spatially both sets of images and to perform fusion on these two new sets, thus producing synthesized images at the original low resolution. The quality budget...
The paper deals with the problem of impact point prediction of ballistic targets (BT) by processing measurements acquired by two 3D surveillance radars. It is assumed that the radars acquire a limited number of measurements that do not encompass the whole target trajectory; thus the established target track has to be extrapolated ahead in time in order to predict the coordinates of the impact point...
We formulate the target tracking based on received signal strength in the sensor networks using Bayesian network representation. Data fusion among the same type of sensors in an active sensor neighborhood is referred to as cross-sensor fusion, conceptualized as "cooperative fusion". This data fusion is embedded in the likelihood function derivation. Fusion of signals collected by multiple...
Unmanned underwater vehicles (UUVs) are increasingly being used in a diverse range of applications. In one particular application, we analyze UUV operations for location, detection and classification of mines. The mission objective is to search the area of interest, using underwater imaging sensors such as side scan sonars, until either the first mine is located, or it is verified that none can be...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.