Qu / Gu / Niu | Proceedings of 3rd 2023 International Conference on Autonomous Unmanned Systems (3rd ICAUS 2023) | Buch | 978-981-97-1094-2 | sack.de

Buch, Englisch, 490 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 945 g

Reihe: Lecture Notes in Electrical Engineering

Qu / Gu / Niu

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

Volume V
1. Auflage 2024
ISBN: 978-981-97-1094-2
Verlag: Springer

Volume V

Buch, Englisch, 490 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 945 g

Reihe: Lecture Notes in Electrical Engineering

ISBN: 978-981-97-1094-2
Verlag: Springer


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.
Qu / Gu / Niu Proceedings of 3rd 2023 International Conference on Autonomous Unmanned Systems (3rd ICAUS 2023) jetzt bestellen!

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Weitere Infos & Material


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. - Chapter 11. Unmanned Surface Vehicle Target Detection Based on LiDAR. - Chapter 12. Distributed Control of Multiple Unmanned Surface Vehicles with Collision Avoidance Based on A Modified Artificial Potential Function. - Chapter 13. Joint task and path planning for unmanned surface vehicle surveillance based on beetle antenna search and minimal construct visibility graph. - Chapter 14. Obstacle Avoidance and Communication Distance Maintenance during Cooperative Target Encircling Control of USVs Based on Control Barrier Functions. - Chapter 15. Saliency detection of turbid underwater images based on depth attention adversarial network. - Chapter 16. Trajectory Tracking Method of Formation Based on RMPC Under Dual Master Alternating Pilotage Strategy. - Chapter 17. Path following control on polar ice surface of unmanned hovercraft with multiple control surfaces based on ADRC. - Chapter 18. Research on Autonomous Docking Control for Underwater Recovery of Unmanned Submersible Vehicles. - Chapter 19. An AUV Tracking Algorithm Based on The Scale-adaptive Kernel Correlation Filter. - Chapter 20. Inter-element Time-delay Estimation of Array Signals Based on Line Spectrum Phase Joint Optimization. - Chapter 21. Model Predictive Uncalibrated Visual Servoing Scheme for Underwater Vehicle Manipulator Systems. - Chapter 22. LSTM and Transfer Learning based Underwater Acoustics Broadband Power Amplifier Behavior Modeling. - Chapter 23. A Novel Compensation Method for Optical Pump Magnetometer Based on Particle Swarm Optimization. - Chapter 24. Underwater Object Detection Algorithm Based on Improved YOLOv5. - Chapter 25. Hierarchical Trajectory Planning for Reconfigurable Multi-USV Platform. - Chapter 26. Underwater three-dimensional reconstruction based on sub-regional processing of forward-looking sonar images. - Chapter 27. A fault diagnosis method for AUVs based on meta-self-attentive variable-scale CNN. - Chapter 28. Interference suppression based on virtual array elements expansion on the small-scale underwater acoustic array. - Chapter 29. Comprehensive Improved Cooperative Particle Swarm Optimizer for USVs Task Allocation for Detection Missions. - Chapter 30. Online Identification and Prediction of USV Maneuverability Parameters Based on Multi-innovation Recursive Least Squares Algorithm with a Forgetting Factor. - Chapter 31. Research on UUV Escape Method Based on Deep Reinforcement Learning. - Chapter 32. A Rolling Horizon-based Constraint Programming Method for Continuous Berth Allocation Problem. - Chapter 33. An Improved Cooperative Localization Algorithm based on FG for MAUVs with Communication Delay . - Chapter 34. Design and Implementation of Semi-Physical Simulation System  for Autonomous Recovery of Unmanned Underwater Vehicles. - Chapter 35. Swarm formation control system of heterogeneous USV based on pilot-following method. - Chapter 36. Research on 3D Obstacle Avoidance of Autonomous Underwater Vehicle Based on Deep Reinforcement learning. - Chapter 37. An Improved Small Infrared Target Detection Algorithm based on Yolov5. - Chapter 38. Real-time Navigation Date-driven Heading Control Algorithm of USV based on Backstepping Method with Unknown Model Parameters. - Chapter 39. Research on path tracking control of pontoon unit based on SFLOS guidance algorithm. - Chapter 40. USV formation configuration based on the probability-distance optimization method. - Chapter 41. Design and Experimental Study of Monitoring Buoys for Rapid Flow Unmanned Areas. - Chapter 42. Composite path following control of AUV with multiple disturbances and input constraints. - Chapter 43. Autonomous Underwater Vehicle Navigation based on iWOA-UFastSLAM. - Chapter 44. Fault-Tolerant Control for ROV Path Tracking Based on Thrust Distribution Strategy. - Chapter 45. Environment driven and task driven modeling of air-sea cross-domain channels. - Chapter 46. Event-triggered Reliable State Estimation for Networked Unmanned Surface Vehicles with Sensor Faults. -



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