國立虎尾科技大學 |

Autonomy and unmanned vehicles = augmented reactive mission and motion planning architecture /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Autonomy and unmanned vehicles/ by Somaiyeh MahmoudZadeh, David M. W. Powers, Reza Bairam Zadeh.
Reminder of title:	augmented reactive mission and motion planning architecture /
Author:	MahmoudZadeh, Somaiyeh.
other author:	Powers, David M. W.
Published:	Singapore :Springer Singapore : : 2019.,
Description:	xiv, 107 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:	Springer eBooks
Subject:	Vehicles, Remotely piloted - Automatic control. -
Online resource:	https://doi.org/10.1007/978-981-13-2245-7
ISBN:	9789811322457

Autonomy and unmanned vehicles = augmented reactive mission and motion planning architecture /
MahmoudZadeh, Somaiyeh.

Autonomy and unmanned vehiclesaugmented reactive mission and motion planning architecture /[electronic resource] :by Somaiyeh MahmoudZadeh, David M. W. Powers, Reza Bairam Zadeh. - Singapore :Springer Singapore :2019. - xiv, 107 p. :ill. (some col.), digital ;24 cm. - Cognitive science and technology,2195-3988. - Cognitive science and technology..

Introduction to Autonomy and Applications -- State-of-the-art in UVs' Autonomous Mission Planning and Task Managing Approach -- State-of-the-art in UVs' Autonomous Motion Planning -- Advancing Autonomy by Developing a Mission Planning Architecture -- Mission Planning in Terms of Task-Time Management and Routing -- AUV Online Real-Time Motion Planning -- Augmented Reactive Mission Planning Architecture.

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.

ISBN: 9789811322457

Standard No.: 10.1007/978-981-13-2245-7doiSubjects--Topical Terms:

1228377
Vehicles, Remotely piloted
--Automatic control.

LC Class. No.: TL152.8 / .M34 2019

Dewey Class. No.: 629.23

Autonomy and unmanned vehicles = augmented reactive mission and motion planning architecture /
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520 $a 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.
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700 1 $a Powers, David M. W. $3 1228375
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