Despite development efforts toward autonomous vehicle technologies, the number of
collisions and driver interventions of autonomous vehicles tested in California seems to be …

Safety is the cornerstone of autonomous driving vehicles. For autonomously controlled
vehicles driving safely in complex and dynamic traffic scenarios, it is essential to precisely …

This paper presents a motion-planning framework for urban autonomous driving at
uncontrolled intersections. The intention and future state of the target vehicles are predicted …

Security problem is a fundamental issue for autonomous vehicles. Trajectory planning is a
significant component of autonomous vehicle system, which directly influences the …

Increasing focus is being paid to ensuring safety in autonomous driving. The current paper
addresses the challenge of collision avoidance with dynamic surrounding vehicles in …

A personalized motion planning and tracking control framework is proposed to prevent
collisions between autonomous vehicles and obstacles ahead. The presented framework …

The growth of automation sector has brought numerous autonomous technology
developments in many sectors, especially automotive. The autonomous features are proven …

This paper describes the design, implementation, and evaluation of a virtual target-based
overtaking decision, motion planning, and control algorithm for autonomous vehicles. Both …

Vehicles are highly coupled and multi-degree nonlinear systems. The establishment of an
appropriate vehicle dynamical model is the basis of motion planning for autonomous …

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 …