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(2) Deep Learning-based UAS Multimodal Imagery Perception

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-20-F-0094
Agency Tracking Number: N193-A01-0231
Amount: $149,994.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N193-A01
Solicitation Number: 19.3
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
1845 West 205th Street
Torrance, CA 90501
United States
DUNS: 153865951
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Armen Gholian
 Senior Research Scientist
 (310) 320-3088
Business Contact
 Keith Baker
Phone: (424) 835-9475
Research Institution

To address the Navy’s need for the development of cutting-edge artificial intelligence (AI)/machine learning (ML) techniques for accurate unmanned aircraft system (UAS) image recognition, Physical Optics Corporation (POC) proposes to develop a new Deep Learning-based UAS Multimodal Imagery Perception (DUMIP) software suite. It is based on a new system design that utilizes convolutional neural networks (CNNs) tailored for resource-constrained environments that require low size, weight, and power processing hardware. The innovation in a multimodal fusion neural network to fuse visible and infrared imagery capable of handling modality drop, transfer learning with customized image quality, and a novel scene reasoner capable of improving detection accuracy will enable DUMIP to improve the classification of the environment and enhance target recognition for UASs with very high accuracy. This system offers advanced image understanding techniques for handling low-quality images and multimodal imagery (sensor fusing), directly addressing the Navy’s requirement for enhanced image understanding with multimodal inputs. In Phase I, POC will demonstrate the feasibility of DUMIP by training and testing DUMIP networks followed by a technology demonstration that will reach technology readiness level (TRL)-3. In Phase II, POC plans to develop, demonstrate functionality and deliver DUMIP prototype system for testing and evaluation, reaching TRL-5.

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

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