Proceedings of 3rd 2023 International Conference on Autonomous Unmanned Systems (3rd ICAUS 2023)

Volume V
2024
ISBN: 978-981-97-1094-2
Verlag: Springer Nature Singapore

Buch, Englisch, 511 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 945 g

Reihe: Lecture Notes in Electrical Engineering

This book includes original, peer-reviewed research papers from the 3rd ICAUS 2023, which provides a unique and engaging platform for scientists, engineers and practitioners from all over the world to present and share their most recent research results and innovative ideas. The 3rd ICAUS 2023 aims to stimulate researchers working in areas relevant to intelligent unmanned systems. Topics covered include but are not limited to: Unmanned Aerial/Ground/Surface/Underwater Systems, Robotic, Autonomous Control/Navigation and Positioning/ Architecture, Energy and Task Planning and Effectiveness Evaluation Technologies, Artificial Intelligence Algorithm/Bionic Technology and their Application in Unmanned Systems.
The papers presented here share the latest findings in unmanned systems, robotics, automation, intelligent systems, control systems, integrated networks, modelling and simulation. This makes the book a valuable resource for researchers, engineers and students alike.

Zielgruppe

Research

Autoren/Hrsg.

Qu, Yi

Fu, Wenxing

Gu, Mancang

Niu, Yifeng

Fachgebiete

• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik
• Technische Wissenschaften Technik Allgemein Mess- und Automatisierungstechnik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

Chapter 1. An AUV Docking Approach based on Image-based Visual-Servoing and Modified Super-Twisting Sliding Mode Control.- Chapter 2. Time and Energy Optimal Path Planning of USV under Time-Varying Ocean Currents.- Chapter 3. Comparative study on wave disturbance prediction methods for the modeling of maneuvering motion.- Chapter 4. Simulation Technology of Unmanned Surface Vehicle Cluster Based on Digital Modeling.- Chapter 5. An improved YOLOv5 approach for multi-object detection of unmanned surface vehicles.- Chapter 6. Improvement of bacterial foraging algorithm for heading control of Unmanned Surface Vessel.- Chapter 7. Research on performance boundary test scenario clustering generation method for ship autonomous collision avoidance algorithm.- Chapter 8. Design of Course Controller for Unmanned Surface Vehicles Considering Complex Environment Interference.- Chapter 9. Variable structure water-air amphibious trans-media vehicle concept design and characteristic analysis.- Chapter 10. Underwater small target detection based on improved YOLOv7, etc.