Format

Hardback

License and Copyright

Keywords

COLREGs; USV cooperative path planning; multi-agent proximal policy optimization; deep learning; target detection; unmanned surface vehicle; obstacle avoidance; formation maintenance; artificial potential field; virtual structure; MEMS IMU; Kalman filter; underwater integrated navigation system; fuzzy set; collision avoidance; COLREGs; safety of navigation; pruning; knowledge distillation; sidescan sonar; object detection; YOLOv7; embedded device; AUV; navigation; invariant error; IEKF; DVL; MASS; COLREG; good point set; NSGA-II algorithm; autonomous collision avoidance; side-scan sonar; diffusion model; image generation; deep learning; gain enhancement; object detection; autonomous underwater vehicle (AUV); subsea production systems (SPS); computer vision; stereo; visual navigation; underactuated autonomous underwater vehicles; formation control; time-varying communication delay; prescribed performance control; unmanned surface vehicle; leader-follower; bio-inspired model; MLP-RBF neural network; sliding mode control; cooperative formation control; underwater SLAM; multibeam sonar; registration; Graph Matching; SINS; MEMS; IMU; AHRS; deep learning; gyroscope; underwater navigation; Kalman filter; particle filter; underwater acoustic communications; Doppler shift estimation; autonomous underwater vehicle; integrated sensing and communication; unmanned underwater vehicle; convolution neural network; underwater pipe line tracking; underwater pipe damage detection; navigation of unmanned underwater vehicle; n/a

Reprint

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Autonomous Marine Vehicle Operations

2nd Edition

Edited by

September 2025

334 pages

ISBN 978-3-7258-5019-8 (Hardback)
ISBN 978-3-7258-5020-4 (PDF)

https://doi.org/10.3390/books978-3-7258-5020-4

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This is a Reprint of the Special Issue Autonomous Marine Vehicle Operations—2nd Edition that was published in

Computer Science & Mathematics

Engineering

Summary

The world has witnessed a rapid development of unmanned systems, which has created fruitful innovative approaches to previously unsolvable problems in Marine and Ocean Engineering. Advanced and intelligent operation methods for marine vehicles are being applied to a variety of significant engineering applications, contributing to the joy of interdisciplinary cooperation. This Reprint focuses on research related to the operation of autonomous marine vehicles, which discusses perception, decision-making, control, and other topics of single/multiple marine vehicles.

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