Development Of A Night Driving Training Aid Concept.

Abstract

The use of night vision devices (NVDs) by U.S. Army foot soldiers, aviators, and drivers of combat and tactical wheeled vehicles has enhanced operations at night by allowing increased mobility and potentially safer operations. With this increased capability in the night environment has come an increased exposure to the hazards of that environment. Numerous vehicular accidents have occurred during night field exercises involving drivers wearing image intensification (12) systems. These accidents can frequently be attributed to perceptual problems experienced by the drivers. Performance with NVDs generally increases with practice and experience. However, there is little formal training provided in night driving skills and few opportunities to practice these skills under realistic conditions. This report documents the approach and results of a Phase I SBIR effort to define and demonstrate a low-cost Night Driving Training Aid (NDTA) concept for training night driving skills with 12 devices and to identify and evaluate the techniques and resources that are available for implementing this approach. The Phase I findings support the need for and the technical feasibility of an NDTA. Potential training delivery platforms for NDTA development are identified and evaluated.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1997
Accession Number
ADA331915

Entities

People

  • Dino Piccione
  • John W. Ruffner
  • Kim Woodward

Tags

Communities of Interest

  • Ground and Sea Platforms
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Armored Personnel Carriers
  • Ground Vehicles
  • Human-Machine Interaction
  • Image Intensification
  • Light Sources
  • Liquid Crystal Displays
  • Night Vision
  • Night Vision Devices
  • Optics
  • Psychology
  • Students
  • Trainees
  • Training
  • Training Devices
  • Virtual Reality
  • Warfare

Readers

  • Aviation Safety Risk Assessment.
  • Image Processing and Computer Vision.
  • Instructional Design and Training Evaluation.