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Non-navigable rivers and retention ponds play important roles in buffering communities from flooding, yet emergency planners often have no data as to the volume of water that they can carry before flooding the surrounding. This paper…

机器人学 · 计算机科学 2023-09-20 Jayesh Tripathi , Robin Murphy

Unmanned surface vessels USVs are typically autonomous or remotely operated and are specifically designed for environmental monitoring in various aquatic environments Aquaculture requires constant monitoring and management of water quality…

机器人学 · 计算机科学 2024-10-15 Aiyelari Temilolorun , Yogang Singh

Implementing fully automatic unmanned surface vehicles (USVs) monitoring water quality is challenging since effectively collecting environmental data while keeping the platform stable and environmental-friendly is hard to approach. To…

机器人学 · 计算机科学 2022-11-09 Tianqi Zhang , Tong Shen , Kai Yuan , Kaiwen Xue , Huihuan Qian

Accurate and cost effective mapping of water bodies has an enormous significance for environmental understanding and navigation. However, the quantity and quality of information we acquire from such environmental features is limited by…

系统与控制 · 电气工程与系统科学 2022-07-19 Bibin Wilson , Anand Singh , Amit Sethi

A multi-unmanned surface vessel (USV) formation control system is established on a novel platform composed of three 1.2 meter-long hydraulic jet propulsion surface vessels, a differential GPS reference station, and inter-vessel Zigbee…

系统与控制 · 计算机科学 2019-05-06 Bin Liu , Zhiyong Chen , Hai-Tao Zhang , Xudong Wang , Tao Geng , Housheng Su , Jin Zhao

Unmanned surface vehicles (USVs) have great value with their ability to execute hazardous and time-consuming missions over water surfaces. Recently, USVs for inland waterways have attracted increasing attention for their potential…

机器人学 · 计算机科学 2021-03-10 Yuwei Cheng , Mengxin Jiang , Jiannan Zhu , Yimin Liu

This survey examines recent sensor-based planning and control methods for Unmanned Underwater Vehicles (UUVs). In complex, uncertain underwater environments, UUVs require advanced planning and control strategies for effective navigation.…

Developing a robust and effective obstacle detection and tracking system for Unmanned Surface Vehicle (USV) at marine environments is a challenging task. Research efforts have been made in this area during the past years by GRAAL lab at the…

机器人学 · 计算机科学 2025-11-12 Yara AlaaEldin , Enrico Simetti , Francesca Odone

Unmanned Surface Vehicles (USVs) have emerged as a major platform in maritime operations, capable of supporting a wide range of applications. USVs can help reduce labor costs, increase safety, save energy, and allow for difficult unmanned…

计算机视觉与模式识别 · 计算机科学 2024-12-03 Linh Trinh , Siegfried Mercelis , Ali Anwar

This paper presents a prototype of a low-cost Unmanned Surface Vehicle (USV) that is operated by wave and solar energy which can be used to minimize the cost of ocean data collection. The current prototype is a compact USV, with a length of…

In recent years, Unmanned Surface Vehicles (USV) have been extensively deployed for maritime applications. However, USV has a limited detection range with sensor installed at the same elevation with the targets. In this research, we propose…

机器人学 · 计算机科学 2021-02-24 Hanlin Niu , Ze Ji , Pietro Liguori , Hujun Yin , Joaquin Carrasco

Current advancements in waterborne autonomous systems, together with the development of cloud-based service-oriented architectures and the recent availability of low-cost underwater acoustic modems and long-range above water wireless…

Marine robots, particularly Unmanned Surface Vessels (USVs), have gained considerable attention for their diverse applications in maritime tasks, including search and rescue, environmental monitoring, and maritime security. This paper…

This paper introduces a novel automatic coverage path planning algorithm for bathymetry surveying with unmanned surface vehicles. The detection range of the mapping sensor employed - a multibeam echo sounder - is heavily influenced by local…

机器人学 · 计算机科学 2026-05-14 Maider Larrazabal , Tong Yang , Izaro Goienetxea , Jaime Valls Miro

Unmanned surface vehicles (USVs) and boats are increasingly important in maritime operations, yet their deployment is limited due to costly sensors and complexity. LiDAR, radar, and depth cameras are either costly, yield sparse point clouds…

计算机视觉与模式识别 · 计算机科学 2025-01-13 Benjamin Kiefer , Yitong Quan , Andreas Zell

This paper focuses on the trajectory optimization of an underwater suspended robotic system comprising an uncrewed surface vessel (USV) and an uncrewed underwater vehicle (UUV) for autonomous litter collection. The key challenge lies in the…

系统与控制 · 电气工程与系统科学 2025-07-08 Yuki Origane , Nicolas Hoischen , Tzu-Yuan Huang , Daisuke Kurabayashi , Stefan Sosnowski , Sandra Hirche

Unmanned Surface Vehicles (USVs) are increasingly utilised for diverse applications, ranging from environmental monitoring to security patrols. While USV technology is progressing, it remains clear that full autonomy is not achievable in…

人机交互 · 计算机科学 2025-11-25 Zitian Peng , Shiyao Zhang , Shanliang Yao , Xiaohui Zhu , Mengjie Huang , Prudence Wong , Yong Yue

Autonomous Surface Vehicles (ASV) are becoming more affordable and include a wide variety of sensors and capacities with applications from ocean physics such as the Saildrone project to ecology with the tracking of marine species in the…

Experimental testing of an unmanned surface vehicle (USV) has been performed to evaluate the performance of two low-level controllers when displacement and drag properties are time-varying and uncertain. The USV is a 4.3 meter long, 150…

系统与控制 · 计算机科学 2017-02-20 Wilhelm B. Klinger , Ivan R. Bertaska , Karl D. von Ellenrieder , Manhar R. Dhanak

Object tracking in inland waterways plays a crucial role in safe and cost-effective applications, including waterborne transportation, sightseeing tours, environmental monitoring and surface rescue. Our Unmanned Surface Vehicle (USV),…

计算机视觉与模式识别 · 计算机科学 2025-06-24 Shanliang Yao , Runwei Guan , Yi Ni , Sen Xu , Yong Yue , Xiaohui Zhu , Ryan Wen Liu
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