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

该项目旨在通过开发新的基于人类感知的运动提示算法（MCAs）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。尽管应用广泛，但现有的运动模拟器无法向用户提供最准确的人类感觉。这种失败主要是由于模拟器使用的mca效率低下和缺乏灵活性。预计该项目将显著提高模拟器的运动保真度并消除晕动病。这将给澳大利亚的研究团体和工业带来实质性的好处，特别是在模拟器用于培训、性能评估和虚拟原型的地方。

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.