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 use of diverse algorithms (subjected to the real-time performance of the algorithm) does not negatively affect the system’s real-time performance.

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.