Performance Tradeoff Considerations in a Graphics Processing Unit (GPU) Implementation of a Low Detectable Aircraft Sensor System

Abstract

The United States Naval Research Laboratory (NRL) is developing a Large Area Scanning and Surveillance Optical System (LASSOS) for identifying and tracking low detectable manned and unmanned aircraft. The system employs altitude- azimuth swept Optical sensors to scan the surrounding airspace and give timely warning of pre- attack targeting operations. Due to their size and standoff distances, the smallest of these aircraft present very small sensor footprints, requiring high- resolution, high- data scans which must be processed in real time. Given packaging size and weight constraints and given the image feature- extraction nature of the sensor data processing problem, NRL is investigating the GPU technology for the high- computational- load front end of the processing chain.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2013
Accession Number
ADA602789

Entities

People

  • Carlos Maraviglia
  • Christopher Scannell
  • Kevin C. Cox
  • William Kolby Smith

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Air Platforms
  • Materials and Manufacturing Processes
  • Sensors
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Aircrafts
  • Algorithms
  • Altitude
  • Area Scanning
  • Computer Graphics
  • Computer Vision
  • Data Processing
  • Detection
  • Detectors
  • Graphics
  • Graphics Processing Unit
  • Image Processing
  • Military Research
  • Optical Detectors
  • Scanning
  • United States
  • Unmanned Aerial Vehicles

Fields of Study

  • Physics

Readers

  • Computer Vision.
  • Sensor Fusion and Tracking Systems.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • Autonomy
  • Space
  • Space - Space Objects