Implementing adaptive driving systems for intelligent vehicles by using neuro-fuzzy networks
YT Lin, FY Wang, PB Mirchandani… - Transportation …, 2001 - journals.sagepub.com
Transportation research record, 2001•journals.sagepub.com
The application of supervised learning to train an intelligent vehicle with a neuro-fuzzy
controller to mimic the driving behavior of a human driver is discussed. An initial fuzzy
control system for vehicle driving was set up on the basis of general human driving
experiences, and its control rules were modified to fit the driving behavior of an individual
driver. This provides an effective mechanism to construct driving control systems with
personality for automated intelligent vehicles.
controller to mimic the driving behavior of a human driver is discussed. An initial fuzzy
control system for vehicle driving was set up on the basis of general human driving
experiences, and its control rules were modified to fit the driving behavior of an individual
driver. This provides an effective mechanism to construct driving control systems with
personality for automated intelligent vehicles.
The application of supervised learning to train an intelligent vehicle with a neuro-fuzzy controller to mimic the driving behavior of a human driver is discussed. An initial fuzzy control system for vehicle driving was set up on the basis of general human driving experiences, and its control rules were modified to fit the driving behavior of an individual driver. This provides an effective mechanism to construct driving control systems with personality for automated intelligent vehicles.
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