Loading…
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...
| Main Authors: | , , |
|---|---|
| Corporate Author: | |
| Format: | e-Book |
| Language: | English |
| Published: |
Singapore :
Springer Nature Singapore :
2019.
Imprint: Springer, |
| Edition: | 1st ed. 2019. |
| Series: | Cognitive Science and Technology,
|
| Subjects: | |
| Online Access: | Full-text access |
| 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 |
| ISSN: | 2195-3996 |
| DOI: | 10.1007/978-981-13-2245-7 |