Results 161 to 170 of about 6,904 (221)
Hybrid Dual-Link Data Transmission Based on Internet of Vessels. [PDF]
Li F, Guo Y, Wang Z, Chen Y, Gu J.
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Multi-Method Technics and Deep Neural Networks Tools on Board ARGO USV for the Geoarchaeological and Geomorphological Mapping of Coastal Areas: The Case of Puteoli Roman Harbour. [PDF]
Mattei G +8 more
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Adaptive formation control for obstacle avoidance of USVs with asymmetric input saturation. [PDF]
Yancai H, Yang L, Yan Z, Minh Hoang DT.
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A multi-strategy improved rime optimization algorithm for three-dimensional USV path planning and global optimization. [PDF]
Gu G, Lou J, Wan H.
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A lightweight model for echo trace detection in echograms based on improved YOLOv8. [PDF]
Ma J, Tong J, Xue M, Yao J.
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Proceedings of the 2022 2nd International Conference on Control and Intelligent Robotics, 2022
The conventional dynamic window approach (DWA) model lacks the time planning capability when simulating the steering process of an unmanned surface vessel (USV).
Yuan Zhou, Liangxiong Dong
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The conventional dynamic window approach (DWA) model lacks the time planning capability when simulating the steering process of an unmanned surface vessel (USV).
Yuan Zhou, Liangxiong Dong
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Marine surveillance capabilities of the AutoNaut wave-propelled unmanned surface vessel (USV)
OCEANS 2017 - Aberdeen, 2017This article describes the developing capabilities of the wave-propelled AutoNaut unmanned surface vessel (USV) in surveillance roles, and the cost-effective part USVs can play in the evolving challenge of policing marine areas.
Phil Johnston, Mike Poole
semanticscholar +3 more sources
Research Of Unmanned Surface Vessel (USV) Path-Planning Algorithm Based on ArcGIS
ICTIS 2013, 2013In order to solve the problem of Path-planning for Unmanned Surface Vessel, a traversal algorithm based on ArcGis is presented. Firstly, ArcGis in the algorithm is selected to choose navigation area based on the layered Electronic Chart, using global path planning and local path planning method to find approximate navigable path.
Bo Wu +3 more
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