The book presents the latest overview, methodologies, design practices, and applications of unmanned surface vehicles (USVs).
The book presents the latest overview, methodologies, design practices, and applications of unmanned surface vehicles (USVs).
The authors introduce advanced theories and algorithms for the analysis and design of a maritime unmanned surface vehicle system, covering the sensing, path following, navigation, and control of the ocean surface environment. They demonstrate the architectural design, implementation, and field testing of USVs as well as key applications, such as hostile military scenarios, scientific oceanographic observation, and intelligent waterborne transportation. In addition, they address the open challenges in the field and propose the corresponding future perspectives.
The book will appeal to researchers, graduate students, and engineers interested in USVs.
1 Overview of Unmanned Surface Vehicles I Advanced Navigation, Guidance,
and Control: Methods Towards Autonomy 2 USV Navigation Methods and A
Real-time Object Recognition System with 3D LiDAR 3 USV Guidance Methods and
COLREGs-compliant Path Planning 4 USV Control Methods and Robust Control
Handling Maritime Disturbances 5 Learning-based Control of USVs II Practices
in the Field 6 USV Systematic Architecture 7 Field Tests of USVs: Safe
Navigation in the Lock Waterway 8 Field Tests of USVs: Ship Turning Maneuver
Tests III Applications over the Water 9 Waterborne Applications of USVs 10
Summary and future perspectives
Huarong Zheng is a full researcher at Ocean College, Zhejiang University, Zhoushan, China. She has been working on autonomous maritime vehicles for more than ten years. Her research interests include ocean robotics, model predictive control, and distributed control and coordination with applications to waterborne networked systems.
Chenguang Liu is a professor at State Key Laboratory of Maritime Technology and Safety, Wuhan University of Technology, China. His research interests include ship intelligent navigation, motion planning and control, formation control, advanced perception, and model predictive control theories and applications.
