自主驾驶的人机交互控制

Survey of human-robot interaction control for autonomous driving

本研究对自主驾驶的人机交互中机器学习方法进行综述。通过介绍自主驾驶中人机交互研究的价值和意义,明确了人机交互问题定义以及与机器学习之间的关系,构建了自主驾驶中人机交互团队的架构。围绕提出的人机交互的系统架构和研究方法展开讨论,提出了人机交互问题解决的通用架构。并且,重点针对自主系统和驾驶员两部分介绍了相关机器学习算法,对自主驾驶中人机交互控制的未来研究进行展望,并对本研究进行总结。

This article summarizes the machine learning methods of human-robot interaction in autonomy vehicles. By introducing the value and significance of human-robot interaction, the relationship between the human-robot interaction problem definition and machine learning were identified, the human-robot interactions team framework was built. The frameworks of human-robot interaction and the research methods of autonomous driving system were reviewed, the general structure for solving human-robot interaction problems was presented. Furthermore, its machine learning algorithm from the two aspects of autonomous control system and driver modeling was introduced. The prospects of the future research direction were summarized.