Autonomous Marine Vehicles Planning and Control
eBook - ePub

Autonomous Marine Vehicles Planning and Control

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Autonomous Marine Vehicles Planning and Control

About this book

Master the future of marine exploration and technology with Autonomous Marine Vehicles Planning and Control, which provides a comprehensive, interdisciplinary guide to the principles, control, and real-world applications of autonomous marine vehicles.

Autonomous Marine Vehicles Planning and Control explores the intricate and rapidly evolving field of autonomous marine vehicles, focusing on unmanned surface vehicles (USVs) and autonomous underwater vehicles (AUVs). This book is designed to provide a comprehensive overview of the fundamental principles, advanced control methodologies, and practical applications of these autonomous systems in various marine environments. Through a series of detailed chapters, the book delves into the technical aspects, innovative algorithms, and real-world challenges associated with the deployment and operation of USVs and AUVs. Through a highly technical and research-oriented approach, each chapter combines theoretical analysis with practical case studies and simulation results to illustrate the effectiveness of the proposed methods. The book also addresses the interdisciplinary nature of the field, integrating concepts from robotics, artificial intelligence, and marine engineering to provide a holistic view of autonomous marine vehicle technology.

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Yes, you can access Autonomous Marine Vehicles Planning and Control by Yong Bai,Liang Zhao in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Automotive Transportation & Engineering. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Table of Contents
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Preface
  7. 1 Introduction
  8. 2 Automatic Control Module
  9. 3 Perception and Sensing Module
  10. 4 Model Predictive Control for Autonomous Marine Vehicles: A Review
  11. 5 Controller-Consistent Path Planning for Unmanned Surface Vehicles
  12. 6 Nonlinear Model Predictive Control and Routing for USV-Assisted Water Monitoring
  13. 7 Global-Local Hierarchical Framework for USV Trajectory Planning
  14. 8 Reinforcement Learning for USV-Assisted Wireless Data Harvesting
  15. 9 Achieving Optimal Dynamic Path Planning for Unmanned Surface Vehicles: A Rational Multi-Objective Approach and a Sensory-Vector Re-Planner
  16. 10 Coordinated Trajectory Planning for Multiple AUVs
  17. 11 Coverage Strategy for USV-Assisted Coastal Bathymetric Mapping
  18. 12 Energy-Efficient Coverage for USV-Assisted Bathymetric Survey Under Currents
  19. 13 Modeling and Solving Time-Sensitive Task Allocation for USVs with Mixed Capabilities
  20. 14 Joint Optimized Coverage Planning Framework for USV-Assisted Offshore Bathymetric Mapping: From Theory to Practice
  21. 15 Pipe Segmentation and Geometric Reconstruction from Poorly Scanned Point Clouds Based on Deep Learning and BIM-Generated Data Alignment Strategies
  22. 16 The Arc Routing Path Planning Problem in the Maritime Domain
  23. 17 Atmospheric Scattering Model-Based Dataset for Maritime Object Detection with YOLOv11
  24. 18 Multisensor Perception and Data Fusion Technologies
  25. 19 Route Planning for Low-Altitude UAV Using Multi-Objective Optimization
  26. 20 Autonomous System Design of Marine Vehicles
  27. Index
  28. Also of Interest
  29. End User License Agreement