Award Data

The modeling and simulation industry has long been plagued by errors in synthetic natural environment representations and services. Terrain correlation issues span a wide range of layers, including database generation, data content, run-time algorithms, and system functional effect. These issues are highly damaging in terms of cost and training impacts. Although multiple attempts have been made to ...

Team Dignitas’ overall objective for Phase II is to enhance the training capabilities of existing virtual simulations based upon advanced dynamic terrain functionality, while simulataneously looking toward next generation capabilities. Throughout our Phase II work, we will coordinate with existing programs to minimize duplicate effort and assure we are addressing unique tasks. In addition, Tea ...

Modus Operandi proposes the development of JC3-TIME, an innovative software module for representing, extracting and reasoning over temporal information, which supports intelligence analysis through event correlation and all source fusion in operational (large-scale) settings. Identification of patterns in the enemy’s behavior is critical to disrupting his activities. Intelligence analysts a ...

Urban environments are a central focus of military operations and by extension, training. The military simulation community has put significant effort into the representation and visualization of buildings and urban clutter. While there is basic simulation support for underground structures, progress is hampered by a lack of source data and widely available tools to support manual or automated ge ...

The Army has recognized that its intelligence analysts are being swamped by the tremendous amounts of unstructured textual data they must try to manually process. While a number of systems have been developed to automatically extract information from text, these systems have suffered from the problem of requiring analysts to manually define and maintain lists of terms and phrases. What is needed ...

Our Virtual-Reality-Assessment-Modules (VRAM) successful efforts already include developing functional prototypes of small arms trainers that enable advanced assessment screening capacities with rapid sequential or simultaneous cognitive and physiological loading on militarily relevant tasks. Our innovations include exploiting exponential differences that are easily detectable within impaired ind ...

Currently there are limited tools to aid in training the task of casualty extraction from a vehicle. The V-Xtract system includes three components that facilitate training on this critical task: A reconfigurable vehicle simulator, a performance metric suite, and a training management system. The vehicle simulator is designed to be reconfigurable so the vehicle can be rotated and modified to creat ...

A low-profile, high elevation, retractable mast can enhance communications and situational awareness in small UGVs by overcoming line-of-sight and height limitations. Phase I developed a small mast, 5-inches high, 7 inches diameter, extending 8-feet with a six pound sensor. The ZipperMast knits together three bands of steel forming a ridged 3-D structure with an internal cable that simultaneousl ...

The Army currently has a need to model debris flyout and subsequent rubble pile generation from munition detonations in urban areas. Munitions may include various types of IEDs, artillery rounds, RPGs, and air delivered munitions. Rubble sources include building structures consisting of concrete, masonry block, mud brick, steel frame or wood frame. The Army is interested in simulating the physical ...

The modeling and simulation industry has long been plagued by errors in synthetic natural environment representations and services. Terrain correlation issues span a wide range of layers, including database generation, data content, run-time algorithms, and system functional effect. These issues are highly damaging in terms of cost and training impacts. Although multiple attempts have been made to ...