Zobrazeno 1 - 10
of 573
pro vyhledávání: '"autonomous surface vehicle"'
Publikováno v:
水下无人系统学报, Vol 32, Iss 4, Pp 730-738 (2024)
In the scenario where multi-autonomous surface vehicles(ASVs) round up an actively escaped adversarial target, a game model of the multi-ASV cooperative hunting problem was established using differential game theory. A surround term consisting of the
Externí odkaz:
https://doaj.org/article/ec352282bc8a4880904fd9909bb24b9b
Publikováno v:
Mathematical Biosciences and Engineering, Vol 21, Iss 2, Pp 2302-2322 (2024)
For the autonomous surface vehicle (ASV) planning problem, an enhanced A* method incorporating encrypted memory database for ASV efficient local path planning is proposed. Considering the current various path planning problems mostly use methods with
Externí odkaz:
https://doaj.org/article/cb2c6d0da113437680569466f36fbd0a
Publikováno v:
Applied Sciences, Vol 14, Iss 17, p 8015 (2024)
The global path planning system is one of the basic systems ensuring the autonomous operation of unmanned underwater vehicles (UUVs) and unmanned surface vehicles (USVs) in a complex aquatic environment. The A* path planning algorithm is one of the m
Externí odkaz:
https://doaj.org/article/64f8ffd4ee1f48d8b66f2aad5444b601
Autor:
André Dias, Ana Mucha, Tiago Santos, Alexandre Oliveira, Guilherme Amaral, Hugo Ferreira, Alfredo Martins, José Almeida, Eduardo Silva
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 8, p 1281 (2024)
This paper presents the implementation of an innovative solution based on heterogeneous autonomous vehicles to tackle maritime pollution (in particular, oil spills). This solution is based on native microbial consortia with bioremediation capacity, a
Externí odkaz:
https://doaj.org/article/590f96f89101464fb442eeaa32bccc01
Publikováno v:
Jurnal Elkomika, Vol 12, Iss 1 (2024)
ABSTRAK Situ Tekno yang berada di Universitas Telkom Bandung merupakan danau buatan dengan luas 5,788.51 m². Danau ini belum memiliki sistem pengukuran dan pemantauan kualitas air untuk menghindari terjadinya pencemaran. Pada penelitian ini telah
Externí odkaz:
https://doaj.org/article/90e149da3b6a47c6b513be7951286cf9
Publikováno v:
Modeling, Identification and Control, Vol 44, Iss 2, Pp 55-68 (2023)
Maritime collision avoidance systems rely on accurate state estimates of other objects in the environment from a tracking system. Traditionally, this understanding is generated using one or more active sensors such as radars and lidars. Imaging senso
Externí odkaz:
https://doaj.org/article/80b16c8f746c414fba26d267b11437fa
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 6, p 1035 (2024)
This study explores positioning and obstacle avoidance control for autonomous surface vehicles (ASVs) by considering equivalent elliptical-shaped obstacles. Firstly, compared to most Barrier Lyapunov function (BLF) methods that approximate obstacles
Externí odkaz:
https://doaj.org/article/b114ff10d4c34745b5b205da5eb7086a
Autor:
Angelo Odetti, Gabriele Bruzzone, Roberta Ferretti, Simona Aracri, Federico Carotenuto, Carolina Vagnoli, Alessandro Zaldei, Ivan Scagnetto
Publikováno v:
Remote Sensing, Vol 16, Iss 11, p 1998 (2024)
This article introduces the Lake Environmental Data Harvester (LED) System, a robotic platform designed for the development of an innovative solution for monitoring remote alpine lakes. LED is intended as the first step in creating portable robotic t
Externí odkaz:
https://doaj.org/article/2065f6664a104bab86316e373dfbb8ee
Publikováno v:
Zhongguo Jianchuan Yanjiu, Vol 18, Iss 1, Pp 67-77 (2023)
ObjectivesThis paper addresses the anti-disturbance optimal coverage control of under-actuated autonomous surface vehicles (ASVs) in fixed ocean areas.MethodsAt the kinematic level, the Voronoi tessellation is carried out based on the locations of ad
Externí odkaz:
https://doaj.org/article/ac99d19e21c643c69f50624a50a1f930
Autor:
Micaela Jara Ten Kathen, Federico Peralta Samaniego, Isabel Jurado Flores, Daniel Gutierrez Reina
Publikováno v:
IEEE Access, Vol 11, Pp 110943-110966 (2023)
The importance of monitoring and evaluating the quality of water resources has significantly grown over time. To achieve this effectively, an option is to employ an intelligent monitoring system capable of measuring the physical and chemical paramete
Externí odkaz:
https://doaj.org/article/1a52a34987054bbb92eab08a8f92a84e