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"A16-005 - Three-Dimensional Imagery Presentation from Multiple Aircraft Sensors"

Award Information
Agency: Department of Defense
Branch: Army
Contract: W911W6-20-C-0037
Agency Tracking Number: A2-8110
Amount: $548,912.67
Phase: Phase II
Program: SBIR
Solicitation Topic Code: A16-005
Solicitation Number: 16.1
Timeline
Solicitation Year: 2016
Award Year: 2020
Award Start Date (Proposal Award Date): 2020-03-12
Award End Date (Contract End Date): 2021-08-24
Small Business Information
DBA, IAVO Research and Scientific 4011 University Dr. Ste. 204
Durham, NC 27707-1111
United States
DUNS: 059333349
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Brad Grinstead
 (919) 433-2400
 bgrinstead@iavo-rs.com
Business Contact
 Matthew Heric
Phone: (919) 433-2400
Email: mheric@iavo-rs.com
Research Institution
N/A
Abstract

The U.S. Army seeks to support Mission Commander (MC) situational awareness (SA) and decision-making by developing 3D presentation software, fusing full-motion video (FMV) and related metadata into a unified, high utility, display. Extending that to the realm of operational SA, to properly execute the OODA (i.e., Observe, Orient, Decide, and Act) loop, a comprehensive human-machine interface (HMI) is needed to aggregate data from existing archived data, online sensors, etc. This unified SA view will present accurate mission information in a relevant context, and provide decision-making technologies that offload the cognitive burdens presently faced by aircrews during operations, especially in complex and hostile environments. This is the primary goal, for instance, of the Army Degraded Visual Environment Mitigation Office. Our initial Phase II focused on combining information from multiple FMV sensors to generate a single unified 3D visual representation of a test “battlefield” using innovative probabilistic registration and 3D geometry building techniques. Initially named Micasa™, our software demonstrator also showcased innovation in real-time optimization, change detection and tracking, data model reduction, and user interface development. Building on our initial success, the Sequential Phase II herein proposes to extend the Micasa work with further emphasis on the following project components: (1) develop an operational automation of 3D geometry from FMV; (2) use existing point cloud information (e.g., from such sources as LIDAR or stereo-derived) with new 3D source information; (3) improve polygonization for exploitation, delivery, and archival purposes; and (4) fuse additional data, and provide data layering, for immersive HMI visualization. These points provide the basis for our stated objectives and the associated tasking plan herein, and they are balanced relative to the scope and level of effort expected from a 24-month Phase II.

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

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