Autonomy and Unmanned Vehicles: Augmented Reactive Mission and Motion Planning Architecture

Somaiyeh MahmoudZadeh, David M.W. Powers, Reza Bairam Zadeh

Research output: Book/ReportBookpeer-review

Abstract

This book addresses higher–lower level decision autonomy for autonomous vehicles, and discusses the addition of a novel architecture to cover both levels. The proposed framework’s performance and stability are subsequently investigated by employing different meta-heuristic algorithms. The performance of the proposed architecture is shown to be largely independent of the algorithms employed; the use of diverse algorithms (subjected to the real-time performance of the algorithm) does not negatively affect the system’s real-time performance. By analyzing the simulation results, the book demonstrates that the proposed model provides perfect mission timing and task management, while also guaranteeing secure deployment. Although mainly intended as a research work, the book’s review chapters and the new approaches developed here are also suitable for use in courses for advanced undergraduate or graduate students.
Original languageEnglish
Place of PublicationSingapore
PublisherSpringer International Publishing
Number of pages116
ISBN (Electronic)9789811322457
ISBN (Print)9789811322440
DOIs
Publication statusPublished - 2019

Publication series

NameCognitive Science and Technology
PublisherSpringer Nature
ISSN (Print)2195-3988
ISSN (Electronic)2195-3996

Keywords

  • Autonomous mission planning
  • Decision making/autonomy
  • Situational awareness
  • Motion/path planning
  • Meta-heuristics evolutionary algorithms

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