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Hardcover - 9789811322440
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Beschreibung
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.
Augmented Reactive Mission and Motion Planning Architecture
Augmented Reactive Mission and Motion Planning Architecture
Details
| Verlag | Springer Singapore |
| Ersterscheinung | 29. Dezember 2018 |
| Maße | 23.5 cm x 15.5 cm |
| Gewicht | 454 Gramm |
| Format | Softcover |
| ISBN-13 | 9789811347559 |
| Auflage | Softcover reprint of the original 1st ed. 2019 |
| Seiten | 107 |
Schlagwörter
Artificial Intelligence, Bildverarbeitung, Computational Intelligence, Computer Imaging - Vision - Pattern Recognition and Graphics, Control - Robotics - Automation, Control - Robotics - Mechatronics, Künstliche Intelligenz, Management: Entscheidungstheorie, Operations Research and Decision Theory, Operations Research/Decision Theory, Optimierung, Optimization, Regelungstechnik, Unternehmensforschung
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