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Use of autonomous research vehicles in Baltic fisheries acoustic surveys: Potential benefits and pitfalls
Published in C. Guedes Soares, T.A. Santos, Trends in Maritime Technology and Engineering Volume 2, 2022
Autonomous and unmanned vessels have rapidly evolved during the last decade and are already used in various marine studies (Eriksen et al., 2001; Griffiths, 2002; Wynn et al., 2014; Verfuss et al., 2016, 2019; Barrera et al., 2021). Depending on the survey objectives and targets, Unmanned Aerial Systems (UAS), Autonomous Underwater Vehicles (AUV), Unmanned Surface Vehicles (USV) and Autonomous Surface Vehicles (ASV) have been developed. Despite the availability of several “off the shelf” vehicles, extensive offshore surveys still require tailored solutions (Verfuss et al., 2019).
Filtering based multi-sensor data fusion algorithm for a reliable unmanned surface vehicle navigation
Published in Journal of Marine Engineering & Technology, 2023
Wenwen Liu, Yuanchang Liu, Richard Bucknall
Development of autonomous vehicle control is advancing rapidly within the maritime industry. Unmanned Surface Vehicles (USV)s can provide benefits to both civilian applications and military operations. Increased interest in further development of USVs has been witnessed worldwide, driven by their capabilities to perform a large range of missions. A number of remotely controlled USVs have been constructed and are in service, such as the CEE-USV developed by CEE HydroSystems which is used to conduct mine tailings and bathymetry surveys in Arizona, USA (CEE HydroSystems 2017). Autonomous marine navigation is needed for new commercial and civilian vessels. China has developed and unmanned cargo ship Jin Dou Yun 0 Hao which has completed several test voyages since 2019 with subsequent order for the first autonomous container ship and plans to build a fleet of unmanned cargo ships (Wang et al. 2020). In Europe an EU project AEGIS (Advanced Efficient and Green Intermodal Services) aims is developing a system that autonomous surface vessels to operate with autonomous port authorities (Rødseth et al. 2020). Naval interest in USVs has increased too in recent years, such as the Royal Navy’s interest in the maritime demonstrator ‘Madfox’ designed to test and develop new technologies for the purposes of undertaking a wide range of army operations including surveillance and protection (Casola et al. 2018). The US Navy has a developing Large Unmanned Surface Vessel as a potential replacement for its large capacity warships (Costa et al. 2019).
Research on the course control of USV based on improved ADRC
Published in Systems Science & Control Engineering, 2021
Junxiang Hu, Yuan Ge, Xu Zhou, Shuo Liu, Jincenzi Wu
Due to the advantages of high sailing rate, low cost, and ability to replace humans in various activities under severe conditions, USV has become a research hotspot of intelligent marine equipment at home and abroad. The motion control of USV is the core content of its development. Excellent control performance is the prerequisite for the successful implementation of various tasks of USV. At present, USV have become an important platform for tasks such as search and rescue, reconnaissance, monitoring, ship escort, anti-mine and anti-submarine. The under-actuated system refers to the system that the input dimension is less than the spatial dimension, that is, the number of system inputs is less than the number of degrees of freedom of the system. USV is a typical under-actuated system (Kolmanovsky & Mcclamroch, 1995). Due to the characteristics of large inertia, nonlinearity and time delay, USV will encounter environmental disturbances such as wind, wave and current during navigation, which will cause USV to deviate from its set course. The course control precision of USV determines its navigation safety. How to make the USV maintain the desired course in case of interference has become the research focus for the motion control of USV.
Effective detection by fusing visible and infrared images of targets for Unmanned Surface Vehicles
Published in Automatika, 2018
Xuefeng Dai, Jianqi Zhao, Dahui Li
Unmanned Surface Vehicle (USV) is a kind of ocean surface vehicles. It has the advantages of high speed, small size and autonomous ability. USV is primarily used to perform tasks that are dangerous and unsuitable for manned vehicles, for example, reconnaissance, searching and rescue, navigation and other tasks. To enhance the autonomous ability of USV on the ocean surface, successfully completing the detection and identification of marine targets is necessary. Many methods suitable for surface target detections were implemented by means of visible light, infrared and radar images. Through the analysis of image characteristics, visible and infrared target detection and identification approaches are adopted in this paper. Complementing the fusion of the visible/infrared target images provides the USV with accurate inputs for implementing the next operations.