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.
This paper serves both as introduction to and motivation for the panel, and as a position paper to highlight retrospectives and perspectives on issues and challenges of levels 2/3 fusion implementations by presenting an independent annotated point of view.
This panel position paper discusses advantages and challenges of multi agent fusion systems (MAS) with respect to the modeling flexibility and fusion reliability. We argue that the MAS paradigm in combination with rigorous modeling and inference methods can facilitate design of theoretically and technically sound fusion systems. This is illustrated with the help of a MAS approach to Bayesian fusion...
In today's fast paced military operational environment, vast amounts of information must be sorted out and fused not only to allow commanders to make situation assessments, but also to support the generation of hypotheses about enemy force disposition and enemy intent. An automation methodology and support tools are required to allow commanders to model and assess dynamic situations such as the behavior...
When designing a higher-level fusion system the designer must choose between options, and in doing so confronts a number of tradeoffs. This paper outlines some of those options and the tradeoffs that those options involve.
A very short overview is given on experience gained in the area of high level information fusion (JDL level 2 and 3) since 1988. The main characteristics of the referenced projects and experimental systems for the support of intelligence officers in land battle missions will be outlined. The different approaches to analyse and model military intelligence processing and the development of concepts...
Since its conception the JDL model has provided the fusion community with a way to describe and understand various activities in the data fusion community. As the community continues to make great strides and advancements, primarily in the Level 2/3 arena, a greater understanding is coming about. As a result it is time to revisit the model and to incorporate these lessons learned. In this paper we...
PMHT algorithm, as proposed, promises high performance multi target tracking in clutter with (relatively) modest computational resources. However, when applied to practical target tracking situations, a number of problems need to be overcome. PMHT assumes fixed number of tracks, and furthermore it assumes that all tracks are true tracks. No track quality measure is provided within PMHT to enable false...
Fusing out-of-sequence information is a very important problem for multi-sensor target tracking systems. The challenge is in dealing with measurements that arrive from the various sensors at a central processor out-of-sequence; that is, signals arriving with a measurement relating to a time previous to the time of the current state. The problem of how to deal with these updates has received much attention...
A model for characterizing communications behaviors has been generalized to a probabilistic model for intentional behavior. Responsive actions are decomposed into measurement, inference, planning and control components) and are predicted as a function of the estimated capability, opportunity and intent of given agents to perform such component actions. This representational scheme enables the generation...
A dynamic image fusion scheme for infrared and visible sequence based on region target detection is proposed in this paper. Target detection technique is employed to segment the source images into target and background regions. Different fusion rules are adopted respectively in target and background regions. A limitedly redundant discrete wavelet transform (LR DWT) method is introduced to achieve...
The proposed new fusion algorithm is based on the finite Ridgelet transform(FRIT) and PCA. FRIT could capture two and higher dimensional singularity is analyzed. FRIT is used to decompose the image into low and high frequency components. The PCA method is used to fuse the low frequency coefficients. And for the high frequency coefficients, the maximum-method and the region consistency check are adopted...
The probability hypothesis density (PHD) filter, which was derived from finite set statistics is a promising approach to multi-target tracking. An analytical closed-form solution for the PHD, named Gaussian mixture PHD Filter, is given for linear Gaussian target dynamics with Gaussian births by B. Vo and W. Ma. Based on the Gaussian mixture PHD filter, in this paper, without consideration of data...
In this paper we analyze the sensor and fusion schedules of a time-triggered, Kalman filter based, multi-sensor fusion system. The fusion system is used as an environmental perception platform for advanced driver assistance systems and delivers its service to a safety related application. As the application demands cyclic updates with bounded accuracy, the influence of the sensor and fusion schedules...
This paper considers the decentralized fusion problem involving local sensor detection as well as the fusion of decisions transmitted over non-ideal transmission channels in a wireless sensor network. Prime emphasis is given to the enhancement of several fusion rules using a recently developed stochastic resonance methodology applied at the local sensors. Further, it is shown that the optimal form...
The problem of single-sensor bearings-only tracking continues to present challenges to tracking algorithms, particularly in certain difficult scenarios such as ones with high bearing rates. In such scenarios, the performance of the recently introduced shifted Rayleigh filter (SRF) is compared with that of other techniques such as extended Kalman filter (EKF), unscented Kalman filter (UKF) and particle...
This paper presents a fusion process developed for the future armoured vehicle system (FAVS) technical demonstration (TD) project. One of the project objectives was to develop, optimize and demonstrate a multi-sensor suite mounted on an army vehicle to detect and identify targets while the platform was moving. The sensors consisted of a cooled infrared camera, millimetre-wave radar and a defensive...
Distributed image steganography (DIS) (Y.S. Wu et al., 2004) is a new method of concealing secret information in several host images, leaving smaller traces than conventional steganographic techniques, and requiring a collection of affected images for secret information retrieval. Fusion system designs of the future will require enhanced security measures for distributed data communication. DIS, compared...
A new method for multimodal image fusion, based on statistical modelling of wavelet coefficients, is proposed in this paper. The algorithm draws from the weighted average scheme, but incorporates Laplacian bivariate parent-child statistical dependencies. The interscale dependency is brought in the form of shrinkage functions. The proposed method has been shown to perform very well with noisy datasets,...
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.