Layered Augmented Virtuality

Abstract

Advancements to robotic platform functionalities and autonomy make it necessary to enhance the current capabilities of the operator control unit (OCU) for the operator to better understand the information provided from the robot. Augmented virtuality is one technique that can be used to improve the user interface, augmenting a virtual-world representation with information from onboard sensors and human input. Standard techniques for displaying information, such as embedding information icons from sensor payloads and external systems (e.g. other robots), could result in serious information overload, making it difficult to sort out the relevant aspects of the tactical picture. This paper illustrates a unique, layered approach to augmented virtuality that specifically addresses this need for optimal situational awareness. We describe our efforts to implement three display layers that sort the information based on component, platform, and mission needs.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2007
Accession Number
ADA475582

Entities

People

  • B. Sights
  • D. Fellars
  • E. B. Pacis
  • G. Ahuja
  • Hobart R. Everett

Organizations

  • Naval Information Warfare Systems Command

Tags

Communities of Interest

  • Autonomy
  • Sensors

DTIC Thesaurus Topics

  • Augmented Reality
  • Cognitive Systems Engineering
  • Command And Control
  • Communications Protocols
  • Coordinate Systems
  • Human-Robot Interaction
  • Robotics
  • Robots
  • Situational Awareness
  • Three Dimensional
  • Unmanned Aerial Vehicles
  • Unmanned Ground Vehicles
  • Unmanned Surface Vehicles
  • Unmanned Systems
  • Unmanned Vehicles
  • User Interface
  • Vehicles

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - Neural Networks
  • Autonomy
  • Autonomy - Human-Robot Interaction