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 perfo...

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Κύριοι συγγραφείς: MahmoudZadeh, Somaiyeh (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Powers, David M.W (http://id.loc.gov/vocabulary/relators/aut), Bairam Zadeh, Reza (http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2019.
Έκδοση:1st ed. 2019.
Σειρά:Cognitive Science and Technology,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Περιγραφή
Περίληψη: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.
Φυσική περιγραφή:XIV, 107 p. 36 illus., 32 illus. in color. online resource.
ISBN:9789811322457
ISSN:2195-3988
DOI:10.1007/978-981-13-2245-7