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- W2591576517 abstract "Lane departures while driving a car may be caused directly by errors in steering behavior and indirectly because of driver distraction. Designing advanced driving assistance systems (ADAS) is a way to avoid these situations. One of the key problems is to monitor and predict driver behavior to make the ADAS intervene in a timely and efficient way. Our approach to achieve this goal is to incorporate a driver model in the design process. The model represents the visual and motor determinants of steering control. It has been used as the foundation of two types of ADAS: (1) a haptic-shared control system that exerts forces on the steering wheel in such a way that the automation blends into the driver's sensorimotor control loop, providing continuous support to lane keeping; and (2) a method of distraction estimation based on the comparison between steering behavior and the model prediction." @default.
- W2591576517 created "2017-03-16" @default.
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- W2591576517 date "2018-01-01" @default.
- W2591576517 modified "2023-09-25" @default.
- W2591576517 title "A Psychophysiology-Based Driver Model for the Design of Driving Assistance Systems" @default.
- W2591576517 doi "https://doi.org/10.1016/b978-0-12-811926-6.00046-4" @default.
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