Autonomy and unmanned vehicles [electronic resource] : augmented reactive mission and motion planning architecture / by Somaiyeh MahmoudZadeh, David M. W. Powers, Reza Bairam Zadeh.
- 作者： MahmoudZadeh, Somaiyeh.
- 其他作者：
- 其他題名：
- Cognitive science and technology.
- 出版： Singapore : Springer Singapore :Imprint: Springer 2019.
- 叢書名： Cognitive science and technology,
- 主題： Vehicles, Remotely piloted--Automatic control. , Computational intelligence. , Optimization. , Artificial Intelligence. , Operations Research/Decision Theory. , Control, Robotics, Mechatronics. , Computer Imaging, Vision, Pattern Recognition and Graphics.
- ISBN： 9789811322457 (electronic bk.) 、 9789811322440 (paper)
- URL：
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電子書(校內)
- 一般註：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. E1084學校採購電子書
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讀者標籤：
- 系統號： 000274562 | 機讀編目格式
館藏資訊
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.
摘要註
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.
