Autonomous driving technology pledges safety, convenience, and energy efficiency. Its
challenges include the unknown intentions of other road users: communication between …

Abstract Autonomous Vehicles (AVs) have shown indelible and revolutionary effects on
accident reduction and more efficient use of travel time, with outstanding socio‐economic …

This paper shows a software stack capable of planning a minimum curvature trajectory for
an autonomous race car on the basis of an occupancy grid map and introduces a controller …

In this paper, a trajectory optimization algorithm is proposed, which formulates the lateral
vehicle guidance task along a reference curve as a constrained optimal control problem …

This paper presents a path following application for vehicles based on a simple linear and
time invariant single-track model, which is calculated based on a constant nominal …

This paper presents an integrated control approach for autonomous driving comprising a
corridor path planner that determines constraints on vehicle position, and a linear time …

This paper describes a comparative study of steering and yaw moment control manoeuvres
in the model predictive control and linear quadratic control approaches for path-following …

Path tracking control is one of the most important functions for autonomous driving. In path
tracking control, high accuracy and smooth tracking are required for safe and comfort …

Model Predictive Controller (MPC) is a capable technique for designing Path Tracking
Controller (PTC) of Autonomous Vehicles (AVs). The performance of MPC can be …

In this paper, an extended Kalman filter-based estimator adopting a dynamic vehicle model
for determining the vehicle's longitudinal and lateral velocity as well as the yaw rate is …