Robust Shared-Control for Rear-Wheel Drive Cars

Jiang, Jingjing; Astolfi, Alessandro

doi:10.1007/978-3-319-40533-9_2

Cited by 2 publications

(1 citation statement)

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“…1) Piecewise Function: Due to the complexity of dynamic environment and disturbance, an intuitive way to design is using rule-based piecewise function. The piecewise function is primarily developed to tackle the shared-control issues in robotics such as wheelchair and industrial robots [92], [93] and then is introduced to intelligent vehicles afterward because of its robustness and practicality in terms of controller design [94]- [96]. For instance, Jiang and Astolfi [92], [96] defined three space sets to divide the reachable set into three parts by judging the level of safety -safe, close, and dangerous.…”

Section: A Rule-based λ(T)mentioning

confidence: 99%

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

Wang

Cao

et al. 2020

IEEE/CAA J. Autom. Sinica

120

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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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