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.
ISBN: | 9789811322440 |
Publication date: | 16th August 2018 |
Author: | Somaiyeh MahmoudZadeh, David MW Powers, Reza Bairam Zadeh |
Publisher: | Springer an imprint of Springer Nature Singapore |
Format: | Hardback |
Pagination: | 107 pages |
Series: | Cognitive Science and Technology |
Genres: |
Artificial intelligence Management decision making Automatic control engineering Operational research Optimization Image processing |