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3D Modeling Indoor Space

Award Information
Agency: Department of Defense
Branch: Special Operations Command
Contract: H92222-18-P-0020
Agency Tracking Number: S173-002-0162
Amount: $150,000.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: SOCOM173-002
Solicitation Number: 2017.3
Solicitation Year: 2017
Award Year: 2018
Award Start Date (Proposal Award Date): 2018-03-19
Award End Date (Contract End Date): 2018-09-19
Small Business Information
6800 Cortona Drive
Goleta, CA 93117
United States
DUNS: 054672662
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Christopher Agh, Ph.D.
 (805) 968-6787
Business Contact
 Marcella Lindbery
Phone: (805) 968-6787
Research Institution

The US Special Operations Forces (SOF) missions include a variety of short-duration, covert operations (e.g. enemy capture, personnel recovery, intelligence/information gathering) which require extensive operational planning and rehearsal. To assist in planning, accurate 3D physical models of sensitive indoor areas or enemy-occupied buildings is desired; however, obtaining data to build such models is a sensitive task and must be performed quickly and unobtrusively. In order to better support SOF missions and training, Toyon proposes to research and develop innovative and computationally efficient algorithms that process high-resolution still-frame images and/or full motion video (FMV) from handheld devices to generate a photo-realistic, textured 3D model of a buildings interior. During this effort Toyon will perform a feasibility study in order to determine viable options for accurate, high-resolution indoor 3D modeling. Toyon will research component algorithms, down select based on evaluation of their ability to meet SOF mission needs, and implement the down selected component algorithms in an end-to-end processing pipeline to assess the feasibility of various approaches. A feasibility and trade study will be performed including: level-of-detail, model resolution, objective model area, accuracy, completeness, and efficiency. A Phase II system prototype will be designed based on results from the Phase I feasibility

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

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