Autonomy and Unmanned Vehicles

£79.50

Autonomy and Unmanned Vehicles

Augmented Reactive Mission and Motion Planning Architecture

Management decision making Operational research Optimization Automatic control engineering Artificial intelligence Image processing

Authors: Somaiyeh Mahmoudzadeh, David M.W. Powers, Reza Bairam Zadeh

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Collection: Cognitive Science and Technology

Language: English

Published by: Springer

Published on: 6th August 2018

Format: LCP-protected ePub

Size: 3 Mb

ISBN: 9789811322457


Overview

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.

Performance and Stability

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.

Simulation Results and Applications

By analyzing the simulation results, the book demonstrates that the proposed model provides perfect mission timing and task management, while also guaranteeing secure deployment.

Target Audience

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.

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