论文标题

驾驶员自动化中的决策共享控制:审查和观点

Decision-Making in Driver-Automation Shared Control: A Review and Perspectives

论文作者

Wang, Wenshuo, Na, Xiaoxiang, Cao, Dongpu, Gong, Jianwei, Xi, Junqiang, Xi, Yang, Wang, Fei-Yue

论文摘要

共享的控制方案允许人类驾驶员在驾驶员车辆系统中与自动驾驶代理一起工作,同时保留驾驶员的控制能力。作为驾驶汽车共享控制系统的基本代理人的人类驱动程序应精确建模有关其认知过程,控制策略和决策过程的建模。由于人类的固有特征,驾驶员和自动化驾驶剂之间的互动策略设计给以人为中心的驾驶员援助系统带来了极好的挑战。出现了许多开放式问题,例如,人类司机在共享控制方案中应采取什么正确的作用?如何做出一个聪明的决定能够平衡代理在共享控制系统中的好处?由于这些关注和问题的出现,希望对人类驾驶员和高度自动化车辆之间的决策进行调查,以了解其建筑,人类驾驶员建模以及驾驶员驾驶共享方案下的互动策略。最后,我们进一步讨论了未来的关键挑战和机遇。他们可能会塑造新的潜在研究方向。

Shared control schemes allow a human driver to work with an automated driving agent in driver-vehicle systems while retaining the driver's abilities to control. The human driver, as an essential agent in the driver-vehicle shared control systems, should be precisely modeled regarding their cognitive processes, control strategies, and decision-making processes. The interactive strategy design between drivers and automated driving agents brings an excellent challenge for human-centric driver assistance systems due to the inherent characteristics of humans. Many open-ended questions arise, such as what proper role of human drivers should act in a shared control scheme? How to make an intelligent decision capable of balancing the benefits of agents in shared control systems? Due to the advent of these attentions and questions, it is desirable to present a survey on the decision-making between human drivers and highly automated vehicles, to understand their architectures, human driver modeling, and interaction strategies under the driver-vehicle shared schemes. Finally, we give a further discussion on the key future challenges and opportunities. They are likely to shape new potential research directions.

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