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Autonomy and Unmanned Vehicles : Augmented Reactive Mission and Motion Planning Architecture / by Somaiyeh MahmoudZadeh, David M.W. Powers, Reza Bairam Zadeh

By: Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Cognitive Science and Technology | SpringerLink BücherPublisher: Singapore : Springer Singapore, 2019Description: Online-Ressource (XIV, 107 p. 36 illus., 32 illus. in color, online resource)ISBN:
  • 9789811322457
Subject(s): Additional physical formats: 9789811322440 | 9789811322464 | Printed edition: 9789811322440 | Printed edition: 9789811322464 DDC classification:
  • 006.3
LOC classification:
  • Q342
DOI: DOI: 10.1007/978-981-13-2245-7Online resources: Summary: 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 studentsSummary: 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 ArchitecturePPN: PPN: 1030105596Package identifier: Produktsigel: ZDB-2-ENG | ZDB-2-INR | ZDB-2-SEB | ZDB-2-SXIT
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Reproduktion. (Springer eBook Collection. Intelligent Technologies and Robotics)

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