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(7) Aircraft Intent Inference based on Real-Time ADS-B Data Processing

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-20-F-0099
Agency Tracking Number: N193-A01-0210
Amount: $149,993.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N193-A01
Solicitation Number: 19.3
Timeline
Solicitation Year: 2019
Award Year: 2020
Award Start Date (Proposal Award Date): 2019-11-21
Award End Date (Contract End Date): 2020-04-20
Small Business Information
2360 SW Chelmsford Ave.
Portland, OR 97201
United States
DUNS: 802036496
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: No
Principal Investigator
 Jimmy Krozel
 Chief Scientist
 (503) 863-0012
 Jimmy.Krozel@gmail.com
Business Contact
 Ms. Michelle M. Camarda
Phone: (503) 242-1761
Email: michelle.camarda@gmail.com
Research Institution
N/A
Abstract

In this Phase I SBIR effort, The Innovation Laboratory, Inc. (TIL) proposes to deliver Artificial Intelligence (AI)/Machine Learning (ML) capabilities to autonomously characterize aircraft intent based on real-time Automatic Dependent Surveillance – Broadcast (ADS-B) data. In Phase I, dozens of AI behavior models are developed to characterize nominal and anomalous behaviors for piloted aircraft. The behavior models and data will be used to (1) identify apparent air corridors and (2) detect anomalous behavior in support of determining aircraft intent.

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

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