Decision-making in driver-automation shared control: A review and perspectives

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

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

125 Citations (Scopus)

Abstract

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.

Original languageEnglish
Article number9146977
Pages (from-to)1289-1307
Number of pages19
JournalIEEE/CAA Journal of Automatica Sinica
Volume7
Issue number5
DOIs
Publication statusPublished - Sept 2020

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