Threat-Based Semi-Autonomous Operator Assistance Algorithms for Ground Vehicles

Abstract

This research has developed an "intelligent co-pilot" operator assistance algorithm for manned or teleoperated ground vehicles. A large-scale experimental study was performed on an outdoor vehicle to test the hypothesis that the semi-autonomous control framework could both prevent vehicle collisions and increase travel speed. Statistically significant results, gathered over a large population of operators, showed a substantial increase in vehicle speed and safety when guided by the semi-autonomous control framework. Other results showed an increasing acceptance of the control technology as additional feedback modalities (i.e. visual, tactile) were provided to the operator.

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Document Details

Document Type
Technical Report
Publication Date
Aug 29, 2013
Accession Number
ADA616184

Entities

People

  • Karl Iagnemma

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Autonomy
  • Human Systems

DTIC Thesaurus Topics

  • Abstracts
  • Agreements
  • Algorithms
  • Autonomous Vehicles
  • Cognitive Systems Engineering
  • Department Of Defense
  • Education
  • Engineering
  • Ground Vehicles
  • Information Operations
  • Mathematics
  • Navigation
  • Students
  • Technology Transfer
  • Unmanned Ground Vehicles
  • Unmanned Systems
  • Vehicles

Readers

  • Aviation Science / Aeronautics.
  • Distributed Systems and Data Platform Development
  • Sensor Fusion and Tracking Systems.