Automated Generation of Underground Structures

Award Information
Agency: Department of Defense
Branch: Army
Contract: W91CRB-09-C-0018
Agency Tracking Number: A082-142-0063
Amount: $119,916.00
Phase: Phase I
Program: SBIR
Awards Year: 2009
Solicitation Year: 2008
Solicitation Topic Code: A08-142
Solicitation Number: 2008.2
Small Business Information
14258 Anastasia Lane, Orlando, FL, 32828
DUNS: 175966675
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Shawn Shiflett
 Simulation Engineer
 (407) 616-2103
Business Contact
 Jon Watkins
Title: Managing Member
Phone: (407) 281-6431
Research Institution
Urban environments have become a central focus of military operations and thus of training. The military simulation community has put significant effort into the representation and visualization of buildings and urban clutter. Databases such as Baku and Caspian Sea and functionality like Ultra High Resolution Buildings (UHRBs) in OneSAF illustrate the great success of these efforts. Similarly, ARA’s Underground and Urban Model Generator (U2MG) makes it possible to automatically generate highly detailed and varying building models and urban clutter. Underground structures are a natural extension of urban terrain. While there is basic simulation support for underground structures in the UHRB specification and in some image generators, progress is hampered by a lack of source data and tools to support manual or automated generation of underground structures. This lack of data and tools has made underground data scarce in training databases. Examples include a few hand-placed tunnels in OneSAF’s Fort Hood database. With this proposal, Team Dignitas proposes to leverage existing technology to immediately provide detailed functionality in the area of automated underground structure generation. Team Dignitas will apply its unique qualifications to carry our functionality from the research and demonstration arena into practical application in Army programs through a Phase II SBIR award.

* Information listed above is at the time of submission. *

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