Robust Machine Executable Collision Regulations at Sea
Robust Machine Executable Collision Regulations at Sea
批准号:
102308
负责人:
金额:
$105.37万
依托单位:
依托单位国家:
英国
项目类别:
Collaborative R&D
财政年份:
2015
资助国家:
英国
项目状态:
已结题
起止时间:
2015 至 --
中文摘要
遵守当前和未来的法规有助于在海上大规模开发无人水面舰艇(USV)。此外,根据《1972年国际海上避碰规则》(COLREGS)进行令人满意的自主作业对海上安全也至关重要。COLREGS的机器执行在有限的情况下进行了调查,该项目旨在发展更全面的能力,并在真实世界的代表性海试中展示令人满意的执行。在学术支持下,工业参与者的目标是:展示用于地雷对抗(MCM)行动的USV的自主控制,并开发更广泛的USV应用以及对更大的常规船只的导航支持。一项关键的创新将是首先使用联网的桥梁模拟器作为安全而有效的测试环境。这些高度身临其境的模拟器通常用于水手培训,将用于根据虚拟船只船员遇到合成自主船只的人类反应和真实世界的困难(如传感器图像退化)来快速迭代开发。
英文摘要
Compliance with current and future regulations is instrumental to the wide-scale exploitation of Unmanned Surface Vessels (USVs) at sea. Satisfactory autonomous operation in accordance with the International Regulations for Preventing Collisions at Sea 1972 (Colregs) is furthermore pivotal to maritime safety. Machine execution of the Colregs has been investigated in limited circumstances and this project aims to develop a more comprehensive capability and demonstrate satisfactory execution in real-world representative sea trials. With academic support, the industrial participants aim to: demonstrate autonomous control of a USV for Mine Counter Measure (MCM) operations, and develop broader USV applications along with navigational support for larger conventional vessels. A key innovation will be the use of networked bridge simulators as a safe yet effective test environment in the first instance. These highly immersive simulators, ordinarily used for mariner training, will be used to rapidly iterate development in light of human reaction from the crew of a virtual vessel encountering a synthetic autonomous vessel and real-world difficulties such as degraded sensor picture.
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国内基金
海外基金
Understanding structural evolution of galaxies with machine learning
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批准号:
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项目类别:省市级项目
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资助金额:10.0万元
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批准年份:2022
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负责人:Nicola Rosario Napolitano
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依托单位: