Driver modeling is important for both automobile industry and intelligent transportation. One
of its key topics has been studied in this paper, ie, the style-oriented driver modeling for …

Automata-based modeling of hybrid and cyber-physical systems (CPS) is an important
formal abstraction amenable to algorithmic analysis of its dynamic behaviors, such as in …

This paper presents the identification technique of the personalized potential map to design
the obstacle avoidance assisting control. First of all, the personalized potential map, which is …

Advanced driver assistance system such as adaptive cruise control, traffic jam assistance,
and collision warning has been developed to reduce the driving burden and increase …

Advanced driving assistance systems (ADAS) such as adaptive cruise control (ACC), traffic
jam assistance, and collision warning have been developed to enhance driving comfort and …

This paper shows how a probabilistic ARX model can be used to predict the driver's steering
behavior and classify the current driving style, based on measurements from the vehicle …

This paper presents the personalized steering assisting system based on the individual
potential field. First of all, the personalized potential map which is considered to represent …

Imitation learning is gaining more attention because it enables robots to learn skills from
human demonstrations. One of the major industrial activities that can benefit from imitation …

As worldwide vehicle CO2 emission regulations have been becoming more stringent,
electric vehicles are regarded as one of the main development trends for the future …

In this paper, a novel method is proposed to estimate the driving styles of other drivers
based on a driving risk feature. This new feature is proposed using a dynamic potential field …