When designing automated driving, defensive manoeuvre design scores higher in user
ratings than dynamic manoeuvre design. Seemingly contradictory, dynamic driving …

Trajectory planning is the core module of autonomous driving system and its main
challenges lie in the decisions in non-convex space and the trade-off between safety …

For autonomous vehicles driving in a low-speed road environment like complex campus,
there are several peculiarities such as two-way lanes, break-in obstacles, smaller safety …

When designing driving styles for automated vehicles, the situational context has a major
impact on the configuration of longitudinal and lateral manoeuvre parameters. Regarding …

In the fields of autonomous navigation and vehicle safety, accurately predicting potential
collision field points between moving objects is a significant challenge. A novel computing …

Trajectory planning enables Autonomous Mobile Robot (AMR) to have intelligence and
avoid a collision in the interaction with obstacles. However, in scenes with multiple …

We propose to develop an Autonomous Self-Driving Vehicle using autonomous technology,
considering the recent boom in the automotive industry and the future scope of Autonomous …

Autonomous vehicles represent a transformative technological advancement with pro-found
implications for our future mobility and quality of life. These systems promise to sig-nificantly …

Automated driving motion planning algorithms require a high degree of real-time
performance. In a closed structured road environment, making full use of the road …

Automated driving has been gaining increasing attention from both academia and industry.
The on-vehicle automation system is primarily designed to replace the human driver during …