With a goal to improve transportation safety, this paper proposes a collaborative driving
framework based on assessments of both internal and external risks involved in vehicle …

This paper presents a shared control driver assistance system based on the driving intention
identification and situation assessment to avoid obstacles. A constrained linear-time-varying …

Distraction, misjudgement and driving mistakes can significantly affect a driver, resulting in
an increased risk of accidents. There are diverse factors that can cause mistakes in driving …

The uncertainties of driver's behavior seriously affect road safety and bring significant
challenges to the human-machine cooperative control. This paper proposes a human …

Shared control schemes allow a human driver to work with an automated driving agent in
driver-vehicle systems while retaining the driverʼ s abilities to control. The human driver, as …

Fatigue driving has been regarded as one of the most important factors that cause traffic
accidents. This paper proposes a robust human-machine shared control strategy to improve …

In recent years, significant emphases and efforts have been placed on developing and
implementing advanced driver assistance systems (ADAS). These systems need to work …

The last decade witnessed a great development of automated driving vehicles (ADVs) and
vehicle intelligence. The significant increment of machine intelligence poses a new …

In this paper, we present a multivehicle cooperative driving system architecture using
cooperative perception along with experimental validation. For this goal, we first propose a …

Vehicle automation is a fundamental approach to reduce traffic accidents and driver
workload. However, there is a notable risk of pushing human drivers out of the control loop …