Computer Generated Environment for Steering a Simulated Unmanned Aerial Vehicle (Computer gegenereerde omgeving voor het besturen van een gesimuleerd onbemand voertuig).

Abstract

Two important tasks in operating a Maritime Unmanned Aerial Vehicle (MUAV) are controlling the airframe and its onboard camera. However, the visual information on which the human operator has to perform these tasks is of poor quality, due to the restricted capacity of the down link between MUAV and operator. This leads to performance degradation in search and tracking tasks and loss of situational awareness. In previous experiments, it was shown that augmentation of the camera image by adding a Computer Generated Environment (CGE) improves performance in controlling the camera and enlarges situational awareness. The present experiment focuses on the possibilities of operating both the airframe and the onboard camera simultaneously, e.g. tracking a target ship while flying a circle around it. The experiment compared performance in four display type conditions: two without augmentation (respectively north up and heading up), and two with augmentation (respectively a 2D CGE and a 3D CGE). The resuLts show that the CGE is successful in supporting airframe controL, without affecting tracking performance. No differences were found between the 2D and 3D CGE, and no differences were found between the north up and heading up displays without CGE. On the basis of these results, it is recommended to investigate the effects of integrating more information into the CGE (i.e. electronic maps), and to explore the possibilities of switching between 2D and 3D. Moreover, more basic knowledge should be acquired concerning the (visual) perception and discrimination of combined airframe, camera, and target motions.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1996
Accession Number
ADA321053

Entities

People

  • B. Kappe
  • J. B. Van Erp

Tags

Communities of Interest

  • Air Platforms
  • Autonomy

DTIC Thesaurus Topics

  • Aircrafts
  • Airframes
  • Computers
  • Data Displays
  • Degradation
  • Discrimination
  • Environment
  • Perception
  • Situational Awareness
  • Steering
  • Unmanned
  • Unmanned Aerial Vehicles
  • Vehicles

Readers

  • Marine Propulsion Engineering and Naval Architecture
  • Robotics and Automation.
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

  • Autonomy
  • Microelectronics
  • Microelectronics - Microelectromechanical Systems