Digital Twin (DT) is an emerging technology and has been introduced into intelligent driving
and transportation systems to digitize and synergize connected automated vehicles …

Perception system design is a vital step in the development of an autonomous vehicle (AV).
With the vast selection of available off-the-shelf schemes and seemingly endless options of …

Accurately predicting and inferring a driver's decision to brake is critical for designing
warning systems and avoiding collisions. In this paper, we focus on predicting a driver's …

Estimating a driver's lane-change (LC) intent is very important so as to avoid traffic accidents
caused by improper LC maneuvers. This paper proposes a lane-change Bayesian network …

The aim of this study is to identify the best practices and future research directions for driver
lane-change intention (DLCI) prediction using eye-tracking technologies based on a …

This position paper introduces the concept of artificial “co-drivers” as an enabling technology
for future intelligent transportation systems. In Sections I and II, the design principles of co …

The inclusion of in-vehicle sensors and increased intention and state recognition
capabilities enable implicit in-vehicle interaction. Starting from a systematic literature review …

Driver lane change intention (DLCI) predicting has become an essential research for the
development of human–machine co-driving system. This work makes an attempt to predict …

This paper presents a principled approach to the modeling of human drivers-applied to stop
behavior-by uniting recent ideas in cognitive science and optimal control. With respect to the …

The exact and reliable understanding of driver behavior characteristics has a large potential
contribution to the active safety control system, advanced driver assistance system, and …