A Multi-Vehicle Cooperative Localization Approach for an Autonomy Framework

Abstract

A testing platform for the validity of autonomy approaches is desirable due to the Air Force's growing interest on the inclusion of autonomy into their systems. A system demonstrating autonomy displays evidence of the following three principles: task, peer, and cognitive flexibility. This research aims to focus primarily on the principle of peer flexibility, specifically the cooperative localization of desired targets in an operational environment using the combined sensors of a team of autonomous vehicles. An instantiation of a new, AFIT-developed autonomous framework will be created to solve the problem of centralized cooperative localization of a target. A key component of this framework is the Unified Behavioral Framework (UBF), which is a systematic approach of breaking down tasks, making assignments and enabling autonomous behaviors for vehicles.

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Document Details

Document Type
Technical Report
Publication Date
Mar 21, 2019
Accession Number
AD1075989

Entities

People

  • Edwin A. Mora

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Artificial Intelligence
  • Bayes Filters
  • Computer Programming
  • Computer Science
  • Department Of Defense
  • Governments
  • Information Exchange
  • Operating Systems
  • Organizational Structure
  • Programming Languages
  • Robotics
  • Two Dimensional
  • United States
  • United States Government
  • Unmanned Systems

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Computational Modeling and Simulation

Technology Areas

  • Autonomy
  • Autonomy - Autonomous System Control