With the rapid development of intelligent vehicles, drivers are increasingly likely to share
their control authorities with the intelligent control unit. For building an efficient Advanced …

Intelligent vehicles and advanced driver assistance systems (ADAS) need to have proper
awareness of the traffic context, as well as the driver status since ADAS share the vehicle …

Due to the lack of active involvement in the driving situation and due to monotonous driving
environments drivers with automation may be prone to become fatigued faster than manual …

Previous research has shown that drivers are generally able to deactivate the automation in
an automated vehicle after a Take-Over Request (TOR) in a relatively short time frame of …

Eco-driving has the potential to reduce fuel consumption and therefore emissions
considerably. Previous research suggests that drivers have a certain level of eco-driving …

Awareness of other vehicle's intention may help human drivers or autonomous vehicles
judge the risk and avoid traffic accidents. This paper proposed an approach to predicting …

Trajectory prediction of the ego vehicle is necessary for the cooperation driving of intelligent
vehicles and drivers. Methods based on deep learning can fit complex functions, but they …

Camera-monitor systems (CMS) can be used in motor vehicles to display the driver's rear
view on a monitor mounted inside the vehicle. This also offers the possibility of replacing …

We present a system able to predict the future left lane change behavior of the ego-vehicle
on highway, depending on detected information about the preceding vehicles. Our system …

A Bayesian network decision-making method is proposed by combining driver's eye-tracking
data and vehicle-based data together to identify driver lane-changing intents. First …