Thanks to their road safety potential, automated vehicles are rapidly becoming a reality. In
the last decade, automated driving has been the focus of intensive automotive engineering …

This paper proposes risk-informed decision-making and control methods for autonomous
vehicles (AVs) under severe driving conditions, where many vehicle interactions occur on …

Unsafe lane-changing maneuvers contribute to accidents and merging conflicts due to
variations in traffic states and driver behaviors at on-ramp merging areas. Connected and …

This paper presents an autonomous vehicle's path planning and tracking system optimized
for collision avoidance on slippery roads. During path planning, a path that can induce the …

This paper investigates the time-varying formation tracking and collision avoidance
problems for multi-unmanned ground vehicle (UGV) system which consists of …

This paper presents a sliding mode control (SMC)-based path-tracking algorithm for
autonomous vehicles by considering model-free adaptive feedback actions. In autonomous …

Safety is one of the major concerns in autonomous driving tasks, and enhancing the
collision avoidance ability of connected and autonomous vehicles (CAVs) is an effective way …

To improve the path tracking accuracy and yaw stability of distributed drive autonomous
vehicles (DDAVs) under extreme working conditions, a cooperative lateral motion control …

To improve the multidirectional motion control accuracy and driving stability of Distributed
Drive Autonomous Vehicles (DDAVs) under extreme conditions, the extreme speed …

The integrated path tracking control (PTC) of steering and braking is crucial for enhancing
the stability of autonomous vehicles under extreme conditions. In the present study, a control …