个人信息
参与实验室科研项目
基于数据驱动和联合设计的无线网络化控制系统的使能建模和设计
复杂环境下非完全信息博弈决策的智能基础模型研究
学术成果
共撰写/参与撰写专利 0 项，录用/发表论文 1 篇，投出待录用论文0篇。
Conference Articles
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A Novel Haptic Takeover Method Based on Human-Machine Collaboration States
Zuhao Xie,
Yunbo Zhao,
Chang Xu,
Xiuhua Liang,
Ruiyu Xia,
and Jiayu Li
In
2024
[Abs]
[pdf]
The current stage of autonomous driving calls for drivers to remain actively engaged within the control loop in anticipation of the need for takeover operations. However, regaining control of the vehicle from a state of low situation awareness (SA) poses a challenge. To address this issue, this research introduces a novel takeover method based on haptic shared control, ensuring a smooth and safe takeover process. A symmetric softmax function is formulated to evaluate muscle state, taking into account the varying torque thresholds associated with different vehicle speeds, as well as utilizing the driver’s cognitive state to characterize their SA. Within the takeover process, a coordinator leverages the driver’s SA and humanmachine intention similarity to determine the current state of human-machine collaboration. Subsequently, different control allocation strategies are then adopted for different states, and the driver is guided through force feedback. Experiment results demonstrate the effectiveness of the proposed method, showcasing its ability to facilitate a smooth and safe transfer of control, regardless of the presence of conflicts or the harmonious state existing between the human driver and the automated system.