Hands-Free, Heads-Up Control System for Unmanned Ground Vehicles

Abstract

This paper describes work to develop a hands-free, heads-up control system for Unmanned Ground Vehicles (UGVs) under an SBIR Phase I contract. Industry is building upon pioneering work that it has done in creating a speech recognition system that works well in noisy environments, by developing a robust key word spotting algorithm enabling UGV Operators to give speech commands to the UGV completely hands-free. Industry will also research and develop two sub-vocal control modes: whisper speech and teeth clicks. Industry is also developing a system that will enable the Operator to drive a UGV, with a high level of fidelity, to a location selected by the Operator using hands-free commands in conjunction with image segmentation and video overlays. This Phase I effort will culminate in a proof-of-concept demonstration of a hands-free, heads-up system, implemented on a small UGV, that will enable the Operator have a high level of fidelity for control of the system.

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Document Details

Document Type
Technical Report
Publication Date
Aug 10, 2011
Accession Number
ADA547423

Entities

People

  • Amit Juneja
  • Chris Blanco
  • Jeremy P. Gray
  • Joel Alberts
  • Jonathan Brown
  • Lauren Reinerman

Organizations

  • United States Army Tank Automotive Research, Development and Engineering Center

Tags

Communities of Interest

  • Autonomy
  • C4I
  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Automated Speech Recognition
  • Collision Avoidance
  • Computer Vision
  • Computers
  • Control Systems
  • Detectors
  • Ear
  • Ground Vehicles
  • Recognition
  • Situational Awareness
  • Systems Engineering
  • Unmanned Ground Systems
  • Unmanned Ground Vehicles
  • Unmanned Systems
  • Vehicles
  • Video

Readers

  • Distributed Systems and Data Platform Development
  • Human-Computer Interaction (HCI).
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • Autonomy