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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.
Produkteigenschaften
- Artikelnummer: 9789811322440
- Medium: Buch
- ISBN: 978-981-13-2244-0
- Verlag: Springer Nature Singapore
- Erscheinungstermin: 16.08.2018
- Sprache(n): Englisch
- Auflage: 1. Auflage 2019
- Serie: Cognitive Science and Technology
- Produktform: Gebunden
- Gewicht: 360 g
- Seiten: 107
- Format (B x H x T): 160 x 241 x 13 mm
- Ausgabetyp: Kein, Unbekannt