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.
| Autorius: | Somaiyeh Mahmoudzadeh, Reza Bairam Zadeh, David M. W. Powers, |
| Serija: | Cognitive Science and Technology |
| Leidėjas: | Springer Nature Singapore |
| Išleidimo metai: | 2018 |
| Knygos puslapių skaičius: | 124 |
| ISBN-10: | 9811347557 |
| ISBN-13: | 9789811347559 |
| Formatas: | Knyga minkštu viršeliu |
| Kalba: | Anglų |
| Žanras: | Management decision making |
Parašykite atsiliepimą apie „Autonomy and Unmanned Vehicles: Augmented Reactive Mission and Motion Planning Architecture“
