A Hardware Testbed for Distributed Learning, Estimation, and Approximation Theory with Sensor Vehicle Networks

Abstract

This report summarizes the design process and implementation of a hardware testbed for a distributed sensing network consisting of autonomous ground vehicles. The goal of the designed testbed is to support research in the synthesis of approximation, learning and estimation theory for high-bandwidth distributed sensing vehicle networks. The report describes the autonomous vehicle designed as the sensing node of the network, and the sensors configured for each node. Performance of sensing subsystems is described.

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Document Details

Document Type
Technical Report
Publication Date
Apr 25, 2012
Accession Number
ADA585285

Entities

People

  • A. Kurdila
  • A. Leonessa

Organizations

  • Virginia Tech

Tags

Communities of Interest

  • Autonomy
  • Energy and Power Technologies
  • Engineered Resilient Systems
  • Ground and Sea Platforms
  • Sensors

DTIC Thesaurus Topics

  • Autonomous Systems
  • Autonomous Vehicles
  • Collision Avoidance
  • Compressed Sensing
  • Computer Vision
  • Construction
  • Detection
  • Environment
  • Ground Vehicles
  • Image Processing
  • Inertial Navigation
  • Inertial Navigation Systems
  • Kalman Filters
  • Lidar
  • Three Dimensional
  • Unmanned Ground Vehicles
  • Unmanned Vehicles

Fields of Study

  • Computer science

Readers

  • Computer Networking
  • Robotics and Automation.

Technology Areas

  • Autonomy
  • Autonomy - Autonomous System Control