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 …

The rising popularity of self-driving cars has led to the emergence of a new research field in
recent years: Autonomous racing. Researchers are developing software and hardware for …

回顾无人驾驶车辆的运动控制问题. 从系统模型, 控制方法以及控制结构等角度切入,
分别在纵向运动控制, 路径跟踪控制和轨迹跟踪控制三个层面对国内外的研究进展进行综述 …

The last decade witnessed increasingly rapid progress in self‐driving vehicle technology,
mainly backed up by advances in the area of deep learning and artificial intelligence (AI) …

In autonomous systems, the ability to make forecasts and cope with uncertain predictions is
synonymous with intelligence. Model predictive control (MPC) is an established control …

This article presents a novel method for exactly reformulating nondifferentiable collision
avoidance constraints into smooth, differentiable constraints using strong duality of convex …

A learning model predictive controller for iterative tasks is presented. The controller is
reference-free and is able to improve its performance by learning from previous iterations. A …

Parametric modeling uncertainties and unknown external disturbance are major concerns in
the development of advanced lateral motion controller for autonomous vehicle at the limits of …

Automated vehicles require efficient and safe planning to maneuver in uncertain
environments. Largely this uncertainty is caused by other traffic participants, eg, surrounding …

For decades, motorsport has been an incubator for innovations in the automotive sector and
brought forth systems, like, disk brakes or rearview mirrors. Autonomous racing series such …