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Perceptually Lossless Unmanned Underwater Vehicle (UUV) Sensor Data Compression

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-23-C-0641
Agency Tracking Number: N231-038-0620
Amount: $139,907.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N231-038
Solicitation Number: 23.1
Timeline
Solicitation Year: 2023
Award Year: 2023
Award Start Date (Proposal Award Date): 2023-08-04
Award End Date (Contract End Date): 2024-02-05
Small Business Information
559 West Uwchlan Avenue Suite 140
Exton, PA 19341-3013
United States
DUNS: 075485425
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Brian Ray
 (757) 727-7700
 brian.ray@va.wagner.com
Business Contact
 W. Reynolds Monach
Phone: (757) 727-7700
Email: GovtMktg@pa.wagner.com
Research Institution
N/A
Abstract

The critical role Unmanned Underwater Vehicles (UUV) play in Naval operations is constrained by their ability to send large volumes of sensor data to warfighters. Thus, compression technology which retains all features of the data needed for human analysis, called perceptually lossless compression, is required. Additionally, our Autoencoder Compression Enhancement for UUV Sensor Data (ACE4USD) system must operate with error prone communication links. To do this, ACE4USD will utilize Deep Neural Network (DNN) based autoencoders to extract key features of UUV sensor data. ACE4DSU will choose features which are substantially smaller than the observed sensor data, but nevertheless permit perceptually lossless reconstruction of the sensor data. ACE4USD will exploit unsupervised learning techniques for DNNs which make these features amenable to further compression by conventional methods. ACE4USD will also use DNN denoising autoencoders to deliver perceptually lossless sensor data to warfighters in the presence of error prone communication links.

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

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