Improved Operator Awareness of Teleoperated Land Vehicle Attitude.

Abstract

The operator of a teleoperated land vehicle must have a sufficient understanding of the attitude of a remote vehicle to successfully operate it in an unstructured outdoor environment. The goal of this effort was to develop a human-machine interface that provides sufficient remote vehicle attitude information while minimally impacting operator workload. Referencing the remote video sensors to the earth's gravitational field was proposed as a means of providing vehicle attitude information to the operator. The hood of the remote vehicle appeared in the video image and served as a two-dimensional artificial horizon, providing the operator with vehicle pitch and roll information in a natural, nonintrusive manner. The effectiveness of gravity-referencing the sensors was experimentally tested and compared with vehicle-referencing the sensors on the same teleoperator system. Experimental results confirmed that gravity-referencing the sensors provided the operator with improved vehicle attitude information. In addition, results showed a significantly higher level of operator confidence in vehicle attitude awareness with the gravity-referencing method. A minimal increase in operator workload was also documented for the method of gravity-referencing.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1994
Accession Number
ADA290443

Entities

People

  • Tracy H. Pastore

Organizations

  • Naval Command, Control and Ocean Surveillance Center

Tags

Communities of Interest

  • Autonomy
  • Biomedical
  • Materials and Manufacturing Processes
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Actuators
  • Autonomous Systems
  • Cognition
  • Control Systems
  • Department Of Defense
  • Detectors
  • Gravitational Fields
  • Ground Vehicles
  • Human Supervisory Control
  • Human-Machine Interfaces
  • Personnel Management
  • Test Equipment
  • Unmanned Ground Vehicles
  • Unmanned Vehicles
  • Video
  • Video Images
  • Workload

Readers

  • Robotics and Automation.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.