This paper presents a novel motion planning and tracking framework for automated vehicles
based on artificial potential field (APF) elaborated resistance approach. Motion planning is …

A motion planning method for autonomous vehicles confronting emergency situations where
collision is inevitable, generating a path to mitigate the crash as much as possible, is …

This paper presents a novel local motion planning framework in a hierarchical manner for
autonomous vehicles to follow a trajectory and agilely avoid obstacles. In the upper layer, a …

The trade-off between handling stability and ride comfort is a disadvantage for the bus fitted
with passive suspension due to its high center of gravity and heavy load. A novel …

Ethical decision-making during inevitable crashes, especially when humans involved, has
become a big and sensitive roadblock for future mass adoption of autonomous vehicles …

In order to ensure the driving safety, comfort, stability and high mobility of emergency rescue
vehicle, and considering the actual characteristics of emergency rescue vehicles like large …

Vehicle rollover, and its resulting fatalities, is an actively researched topic especially for multi-
axle vehicles in the field of vehicle dynamics and control. This paper first presents a new …

Compliance with traffic laws is a fundamental requirement for human drivers on the road,
and autonomous vehicles must adhere to traffic laws as well. However, current autonomous …

This study proposes a novel collision avoidance and motion planning framework for
connected and automated vehicles based on an improved velocity obstacle (VO) method …

This paper proposes a constrained model predictive control (MPC) for tractor-trailer trucks
with the complicated physical characteristics, where motion constraints can be considered to …