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Deep Learning Sensor Technology for Safe Flying Car Operations

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8649-21-P-0099
Agency Tracking Number: FX20D-TCSO1-0104
Amount: $149,935.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: AFX20D-TCSO1
Solicitation Number: X20.D
Timeline
Solicitation Year: 2020
Award Year: 2021
Award Start Date (Proposal Award Date): 2020-11-23
Award End Date (Contract End Date): 2021-05-23
Small Business Information
12900 Brookprinter Place, Suite 800
Poway, CA 92064-1111
United States
DUNS: 107928806
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Brian Watson
 (858) 354-1148
 bwatson@islinc.com
Business Contact
 Margaret Latchman-Geller
Phone: (858) 373-2717
Email: mgeller@islinc.com
Research Institution
 Sinclair Community College
 Andrew Shepherd
 
444 West Third Street
Dayton, OH 45402-1461
United States

 (937) 512-5751
 Nonprofit college or university
Abstract

Sensor technology that enables safe takeoff, landing, navigation, and Sense & Avoid (SAA) flight is paramount for Urban Air Mobility (UAM). The approach must be all-weather, day-night, low C-SWaP, and identify obstacles during flight (aircraft, UAS, birds) as well as during takeoff/landing (cables, buildings). The FAA advises that an air vehicle be able to Detect, Sense, and Avoid (DSA) other aircraft with detection ranges of 3 nmi or more. We are proposing an Artificial Intelligence Radar (AIR) solution that is all-weather, extremely lightweight and cost effective.  It leverages a novel sensor technology, ISL’s state-of-the-art M&S tool RFView®, and the Simlat flight environment. RFView® was recently highlighted as an AFRL SBIR Success Story for its ability to dramatically reduce the need for expensive flight testing (www.sbir.gov/node/1526807). The ISL / Sinclair team has the qualifications, personnel, and tools to successfully develop and transition the proposed novel SAA solution. ISL has a track record of successful SBIR program transition to Phase IIIs and programs of record. Sinclair is an active research member of the FAA ASSURE UAS Center of Excellence and NSF Center for UAS Industry Advisory Board. Sinclair has demonstrated successful commercialization of UAS technology through a Binational Industrial Research and Development Foundation grant.

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

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