Autonomy and Unmanned Vehicles Augmented Reactive Mission and Motion 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 performanc...

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Bibliographic Details
Main Authors: MahmoudZadeh, Somaiyeh, Powers, David M.W. (Author), Bairam Zadeh, Reza (Author)
Format: eBook
Language:English
Published: Singapore Springer Singapore 2019, 2019
Series:Cognitive Science and Technology
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Description
Summary: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
Physical Description:XIV, 107 p. 36 illus., 32 illus. in color online resource
ISBN:9789811322457