Real Time 3-D Modeling and Immersive Visualization for Enhanced Soldier Situation Awareness

Award Information
Agency: Department of Defense
Branch: Army
Contract: W15QKN-12-P-0148
Agency Tracking Number: A12A-003-0320
Amount: $99,575.00
Phase: Phase I
Program: STTR
Awards Year: 2012
Solicitation Year: 2012
Solicitation Topic Code: A12a-T003
Solicitation Number: 2012.A
Small Business Information
Ten 40th Street, Pittsburgh, PA, -
DUNS: 796315492
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 David LaRose
 Director, Software Eng
 (412) 327-3970
Business Contact
 Dan Beaven
Title: Controller
Phone: (412) 867-9443
Research Institution
 Carnegie Mellon University
 Joanne Kyriacopoulos
 National Robotics Eng. Ctr
10 40th Street
Pittsburgh, PA, 15213-
 (412) 681-6739
 Nonprofit college or university
We propose a rapid mapping and 3-D visualization system especially suited for tunnels, urban"canyons", inside buildings and other environments where GPS may be poor or not available. The system includes mobile Sensor Nodes (mobile robots in our Phase I) that wirelessly supply compressed 3D range data and color imagery to a central Fusion Node. The Fusion Node runs 3D reconstruction and model-building algorithms, fusing data from one or more Sensor Nodes to generate an integrated model of the battlespace. Texture mapped 3D imagery, drawn from this model, is delivered to unit leader and soldier via Dismount Nodes (hand-held devices or Smartphones), allowing overhead and immersive display of the accumulated model. This capability enables a range of activities including mission planning, coordination between troops, and tactical rehearsals. During engagement the system helps increase situational awareness by allowing soldiers to"look through walls"and, if GPS is available, monitor their fellow team members"locations. Our system is based upon existing, proven technology: The robot, GPS-denied pose system and colorized laser sensor are Carnegie Robotics products. The 3D colorized modeling and dataset registration software sources from our Research Institution partner, Carnegie Mellon University"s NREC.

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

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