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AI for Small Unit Maneuver: VTOL Landing Algorithm

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA864922P0082
Agency Tracking Number: FX21B-TCSO1-0230
Amount: $49,800.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: AF21B-TCSO1
Solicitation Number: X21.B
Timeline
Solicitation Year: 2021
Award Year: 2022
Award Start Date (Proposal Award Date): 2021-11-16
Award End Date (Contract End Date): 2022-02-15
Small Business Information
58 del oro lagoon
novato, CA 94949-4949
United States
DUNS: 117410334
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Daniel Campbell
 () -
 daniel@dropdrone.co
Business Contact
 Daniel Campbell
Phone: () -
Email: daniel@dropdrone.co
Research Institution
 University of Dayton Research Institute
 Joshua Handwerker
 
300 College Park
Dayton, OH 45469-0086
United States

 (937) 360-8284
 Domestic Nonprofit Research Organization
Abstract

Computer vision algorithm for depth and space estimation to geolocate sUAS or helicopter landing locations in tactical environments.  Detects suitable landing locations in unknown or non-traditional landing zones.    Enabling technology: unique Python pro

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

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