Remote Battle Damage Assessment Using Sensor Fusion and 3D Imaging

Abstract

It is extremely important to meet the rapid Battle Damage Assessment (BDA) requirement for current and future systems. The proposed technical approach provides the capability to conduct timely BDA utilizing indigenous surveillance systems. The surveillance system consisting of digital visual and infrared (IR) cameras combined with a real-time 3D display is proposed. This system will be integrated and tested under field conditions. The system will support real-time remote BDA by providing images of combat vehicles and their IR signatures. This assessment will allow soldiers to identify combat vehicles that have been damaged or destroyed on the battlefield. The task will be accomplished using the sensor fusion technique for visual and IR imagery. The battle damage assessment with 3D depth perception will be accomplished by using multiple camera views. The 3D images will be displayed remotely using auto-stereoscopic 3D display. This technology was tested in the lab environment for threat recognition, camouflage assessment, and space shuttle tile damage assessment. The results of this testing show the benefits of IR imaging and fused imaging techniques for threat assessment. The stereoscopic cameras were used for camouflage evaluation in the field. The benefit of this technique for BDA is in depth perception of the battlefield.

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Document Details

Document Type
Technical Report
Publication Date
Feb 13, 2004
Accession Number
ADA478160

Entities

People

  • D. Bryk
  • E. J. Sohn
  • Elena Bankowski
  • K. Lane
  • T. Meitzler

Organizations

  • Tank-automotive and Armaments Command

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Battle Damage Assessment
  • Battles
  • Cameras
  • Combat Vehicles
  • Damage
  • Damage Assessment
  • Field Conditions
  • Human-Machine Interaction
  • Imaging Techniques
  • Information Operations
  • Sensor Fusion
  • Space Shuttles
  • Stereo Cameras
  • Threat Evaluation
  • Warfare

Readers

  • Computer Vision.
  • Sensor Fusion and Tracking Systems.

Technology Areas

  • Space