We introduce the novel domain-specific Drive&Act benchmark for fine-grained
categorization of driver behavior. Our dataset features twelve hours and over 9.6 million …

This paper proposes a novel dynamic control authority allocation strategy based on the
elliptic driving safety field for the game-based shared control, which aims to deal with human …

Prior to realizing fully autonomous driving, human intervention is periodically required to
guarantee vehicle safety. This poses a new challenge in human–machine interaction …

Distraction of the driver by secondary tasks is already dangerous while driving manually but
especially in handover situations in an automated mode this can lead to critical situations …

In automated vehicles, the collaboration of human drivers and automated systems plays a
decisive role in road safety, driver comfort, and acceptance of automated vehicles. A …

Driver observation models are rarely deployed under perfect conditions. In practice,
illumination, camera placement and type differ from the ones present during training and …

An adaptive dynamic allocation strategy for driving authority based on the non-cooperative
game was designed to solve the decision conflict problem between the driver and automatic …

With the increasing number of cars, road traffic accidents have caused a lot of losses every
year and human factors play an important role in many cases. Applying active safety …

This paper aims to study two major research problems for 3D human pose estimation using
depth data. First we seek an effective way for applying the RGB pre-trained 2D CNN model …

Until upcoming autonomous vehicles can handle every scenario in all operation domains
there will be situations, in which the human driver needs to retrieve control of the vehicle …