Autonomy and Unmanned Vehicles

Augmented Reactive Mission and Motion Planning Architecture

David M.W. Powers, Reza Bairam Zadeh, Somaiyeh MahmoudZadeh, et al.

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Springer Singapore img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Allgemeines, Lexika

Beschreibung

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.

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Schlagwörter

Operational ocean environment, Situational awareness, Firefly Optimization Algorithm (FOA), Autonomous Underwater Vehicles (AUV), Biogeography-Based Optimisation (BBO), Meta-heuristics evolutionary algorithms, Autonomous mission planning, Decision making/autonomy, Ant Colony Optimisation (ACO), Motion/path planning, Particle Swarm Optimization (PSO), Vehicle routing, Imperialist Competitive Algorithm (ICA)