Award Data

In Phase I, ALPHATECH will define a model-neutral data structure and supporting access mechanisms that will provide interoperability between different modeling methodologies in support of large scale systems engineering. The model-neutral data structure will provide a common data representation of the model-specific data that is contained in the different modeling methods. The access mechanisms ...

There are strong motivations for the development of accurate, efficient algorithms for the three-dimensional location of stationary or moving targets from one or more video sensors. In this proposal we describe an effort to accomplish this task by exploiting ALPHATECH's unique expertise in all related technology areas: extraction of information from imagery, multi-object tracking, three-dimens ...

The objective of this research is to define and validate an Avionics Information Fusion System (AIFS) which optimally combines onboard and offboard data. We propose an architecture containing an offboard data processor to extract data relevant to the mission, and a set of fusion modules for recursively associating sensor reports, tracking targets, and classifying targets. These modul ...

In this effort ALPHATECH will develop algorithms for extraction of purposeful temporal-spatial patterns from moving vehicle data and demonstrate their efficiency on a set of simulated MPA scenarios. We apply unsupervised learning algorithms to find similarities between traffic activities. Traffic activities are constructed using ALPHATECH's multiple hypothesis tracking algorithm and grouping cor ...

In this effort we will design and demonstrate the benefits of an integrated fusion system (IFS) for continuous monitoring of targets. The proposed IFS architecture will ensure that all available sensor data is used to generate a consistent picture of target tracks and activities, and it will enable processing of data from each sensor to be cued based on all available information. We will specify ...

Achieving global awareness by automatically exploiting sensor data will provide tremendous advantage to the warfighter. However, camouflage, concealment, and deception (CC&D) can be effective countermeasures against surveillance systems. The most promising strategies for defeating CC&D exploit multiple sensor modalities, such as foliage penetration (FOPEN) synthetic aperture radar (SAR) and hype ...

recent advances in sensor technology have enabled collection of vast quantities of battlefield information. Warfighters will soon gain global access to this huge volume of information. Rather than construct separate redundant, and inconsistent situation estimates, a Dynamic Database can reduce the data to a comprehensive, self-consistent representation of the environment. This proposal explores ...

Network surveys hold great promise for information and data gathering, and would allow almost instantaneous access to large and diverse populations. Although there is a mature literature on survey methodology in other media, little is known about how networks might interact with survey processes or impact response accuracy. ALPHATECH proposes to analyze existing survey literature to identify cri ...

This research develops innovative techniques for updating 3D representations of targets used for SAR ATR, e.g., of the type being employed on DARPA's MSTAR program, directly from data. The work will provide a critical bridge between models and data, allowing image exemplars of modified targets to be of immediate use in updating target representations. The proposed work would also extend naturall ...

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