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Toward human-vehicle collaboration: Review and perspectives on human-centered collaborative automated driving

机译：走向人工的合作：对人以人为本的协作自动化驾驶的审查和观点

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摘要

The last decade witnessed a great development of automated driving vehicles (ADVs) and vehicle intelligence. The significant increment of machine intelligence poses a new challenge to the community, which is the collaboration between human drivers and vehicle autonomy. As vehicle autonomy is gaining more control authority, the roles that human drivers can play in the future need to be further clarified. In this study, literature review and perspectives on the human behaviors and cognition (HBC) for ADVs toward human-autonomy (H-A) collaboration are proposed. First, the H-A collaboration basics and key factors are reviewed. Then, the HBC issues in driver behavior modeling and understanding are discussed. Specifically, two key factors are reviewed, which are human trust and situation awareness (SA). Next, HBC in two H-A collaboration-enabled vehicle control methods, namely, shared control and take-over control, are analyzed. It is shown that the human-centered collaboration strategy that integrates driver states will largely increase the acceptance of the ADVs. Then, the HBC issues in the design of humanmachine-interface (HMI) for future autonomous and collaboration-enabled ADVs are discussed. Last, challenges and future works for H-A collaboration on ADVs are analyzed to contribute to the development of understandable, trustable, and acceptable ADVs.
机译：最后十年目睹了自动化驾驶车辆（ADVS）和车辆智能的巨大发展。机器智能的显着增量对社区构成了新的挑战，这是人类驱动因素和车辆自治之间的合作。随着载体自治正在获得更多的控制权，人司机在将来可以发挥的角色需要进一步阐明。在本研究中，提出了对人类自主权（H-A）合作的人类行为和认知（HBC）的文献综述和观点。首先，综述了H-A协作基础和关键因素。然后，讨论了驾驶员行为建模和理解中的HBC问题。具体而言，审查了两个关键因素，这是人类信任和情况意识（SA）。接下来，分析了两个H-A协作的车辆控制方法，即共享控制和接管控制的HBC。结果表明，整合驾驶员国家的以人为本的合作策略将在很大程度上增加了对副教堂的接受。然后，讨论了用于将来的自主和协作的ADVIS设计的Humachine-interface（HMI）设计中的HBC问题。对H-A对ADVIS合作的最后，分析了对H-A合作的挑战和未来作品，为制定理解，可信赖和可接受的adj。

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