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TitleAutonomy and Unmanned Vehicles [electronic resource] : Augmented Reactive Mission and Motion Planning Architecture / by Somaiyeh MahmoudZadeh, David M.W. Powers, Reza Bairam Zadeh
ImprintSingapore : Springer Singapore : Imprint: Springer, 2019
Edition 1st ed. 2019
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Descript XIV, 107 p. 36 illus., 32 illus. in color. online resource


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


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

Engineering Mathematical optimization Artificial intelligence Operations research Computer vision Computational Intelligence. Optimization. Artificial Intelligence. Operations Research/Decision Theory. Control Robotics Mechatronics. Computer Imaging Vision Pattern Recognition and Graphics.


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