Singapore: Springer Singapore, 2019. — 116 p. — ISBN: 978-981-13-2245-7.
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 frameworks 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 systems 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 books review chapters and the new approaches developed here are also suitable for use in courses for advanced undergraduate or graduate students.
Introduction to Autonomy and Applications -- State-of-the-art in UVs Autonomous Mission Planning and Task Managing Approach -- State-of-the-art in UVs Autonomous Motion Planning -- Advancing Autonomy by Developing a Mission Planning Architecture -- Mission Planning in Terms of Task-Time Management and Routing -- AUV Online Real-Time Motion Planning -- Augmented Reactive Mission Planning Architecture.