Results 21 to 30 of about 6,887 (240)
International Journal of Advanced Robotic Systems, 2020 Using multiple unmanned surface vehicle swarms to implement tasks cooperatively is the most advanced technology in recent years. However, how to find which swarm the unmanned surface vehicle belongs to is a meaningful job.
Guoge Tan +4 more
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Modeling, Identification, and Control of an Unmanned Surface Vehicle [PDF]
Journal of Field Robotics, 2013 This paper describes planar motion modeling for an unmanned surface vehicle (USV), including a comparative evaluation of several experimentally identified models over a wide range of speeds and planing conditions. The modeling and identification objective is to determine a model that is sufficiently rich to enable effective model‐based control design ...
Christian R. Sonnenburg +1 more
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Unmanned Surface Vehicle: Yaw Modeling and Identification
CoRR, 2023 4 pages, 5 figures, submitted to: 2nd International Conference on Engineering and Applied Natural ...
Ahsan Tanveer, Sarvat Mushtaq Ahmad
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IEEE Access, 2019 This study focuses on the network-based fault estimation and fault-tolerant controller designing for an unmanned surface vehicle submit to actuator faults, along with transmission delays, packet dropouts and packet disordering in the communication ...
Zitian Zhou, Maiying Zhong, Youqing Wang
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A hybrid air-sea cooperative approach combined with a swarm trajectory planning method
Paladyn, 2020 This work addresses the issue of ocean monitoring and clean-up of polluted zones, as well as the notion of trajectory planning and fault tolerance for semi-autonomous unmanned vehicles.
Bella Salima +2 more
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Sensors, 2021 Automated systems have been seamlessly integrated into several industries as part of their industrial automation processes. Employing automated systems, such as autonomous vehicles, allows industries to increase productivity, benefit from a wide range of
Jiri Pokorny +7 more
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A Method of Path Planning on Safe Depth for Unmanned Surface Vehicles Based on Hydrodynamic Analysis
Applied Sciences, 2019 The depth of water is of great significance to the safe navigation of unmanned surface vehicles (USV)in shallow waters, such as islands and reefs. How to consider the influence of depth on the safety of USV navigation and path planning is relatively rare.
Shuai Liu, Chenxu Wang, Anmin Zhang
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Emerging Inter-Swarm Collaboration for Surveillance Using Pheromones and Evolutionary Techniques
Sensors, 2020 In this article, we propose a new mobility model, called Attractor Based Inter-Swarm collaborationS (ABISS), for improving the surveillance of restricted areas performed by unmanned autonomous vehicles.
Daniel H. Stolfi +3 more
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A Lightweight Sea Surface Object Detection Network for Unmanned Surface Vehicles
Journal of Marine Science and Engineering, 2022 For unmanned surface vehicles (USVs), perception and control are commonly performed in embedded devices with limited computing power. Sea surface object detection can provide sufficient information for USVs, while most algorithms have poor real-time ...
Zhangqi Yang +4 more
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Proposed Efficient Design for Unmanned Surface Vehicles
CoRR, 2020 Recently worldwide interest is growing toward commercial, military or scientific Unmanned Surface Vehicle (USV) and hence there is required to develop their guidance, navigation, and control (GNC) systems. Real USVs are a relatively new advent, so the drawbacks of each model will be modified during the time.
Pouyan Asgharian, Zati Hakim Azizul
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