High-Fidelity Motion Simulator using Sickness-Free Motion Cueing Algorithm

使用无病态运动提示算法的高保真运动模拟器

• 批准号: DE210101623
• 负责人: A/Prof Houshyar Asadi
• 金额: $ 32.1万
• 依托单位: Deakin University
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Early Career Researcher Award
• 财政年份: 2021
• 资助国家: 澳大利亚
• 起止时间: 2021-02-01 至 2024-01-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DE210101623
• 关键词: Fidelity; Motion; Simulator; using; Sickness

This project aims to address the key deficiencies of driving and flight simulators by developing novel human perception-based motion cueing algorithms (MCAs) and leveraging advanced artificial intelligence techniques. Despite widespread applications, existing motion simulators fail to deliver the most accurate human sensation to the user. This failure is mainly attributable to the inefficiency and inflexibility of MCAs used by simulators. It is expected that this project will significantly increase simulator motion fidelity and eliminate motion sickness. This will have substantial benefits to Australian research communities and industries, particularly where simulators are used for training, performance evaluation and virtual prototyping.

该项目旨在通过开发新的基于人类感知的运动提示算法（MCA）和利用先进的人工智能技术来解决驾驶和飞行模拟器的关键缺陷。尽管有广泛的应用，现有的运动模拟器未能提供最准确的人类感觉给用户。这种失败主要是由于模拟器使用的MCA的效率低和可扩展性。预计该项目将显著提高模拟器的运动逼真度并消除晕动病。这将对澳大利亚的研究界和工业界产生巨大的好处，特别是在模拟器用于培训、性能评估和虚拟原型设计的地方。