[HTML][HTML] Model predictive path tracking control for automated road vehicles: A review
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 last decade, automated driving has been the focus of intensive automotive engineering …
Control strategies on path tracking for autonomous vehicle: State of the art and future challenges
Q Yao, Y Tian, Q Wang, S Wang - IEEE Access, 2020 - ieeexplore.ieee.org
Autonomous vehicle technology aims to improve driving safety, driving comfort, and its
economy, as well as reduce traffic accident rate. As the basic part of autonomous vehicle …
economy, as well as reduce traffic accident rate. As the basic part of autonomous vehicle …
[PDF][PDF] 无人驾驶车辆的运动控制发展现状综述
熊璐， 杨兴， 卓桂荣， 冷搏， 章仁夑 - 机械工程学报, 2020 - scholar.archive.org
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 …
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 …
Model predictive control of three-axis gimbal system mounted on UAV for real-time target tracking under external disturbances
A Altan, R Hacıoğlu - Mechanical Systems and Signal Processing, 2020 - Elsevier
Abstract The fact that Unmanned Aerial Vehicles (UAVs) move in a specific path and that the
camera in the gimbal system mounted on the UAV adhere to the right target attracts the …
camera in the gimbal system mounted on the UAV adhere to the right target attracts the …
A systematic survey of control techniques and applications in connected and automated vehicles
Vehicle control is one of the most critical challenges in autonomous vehicles (AVs) and
connected and automated vehicles (CAVs), and it is paramount in vehicle safety, passenger …
connected and automated vehicles (CAVs), and it is paramount in vehicle safety, passenger …
Deep adaptive control: Deep reinforcement learning-based adaptive vehicle trajectory control algorithms for different risk levels
In this study, we explore the problem of adaptive vehicle trajectory control for different risk
levels. Firstly, we introduce a sliding window-based car-following scenario extraction …
levels. Firstly, we introduce a sliding window-based car-following scenario extraction …
Personalized vehicle trajectory prediction based on joint time-series modeling for connected vehicles
Motion prediction for the leading vehicle is a critical task for connected autonomous
vehicles. It provides a method to model the leading-following vehicle behavior and analysis …
vehicles. It provides a method to model the leading-following vehicle behavior and analysis …
Multiphase overtaking maneuver planning for autonomous ground vehicles via a desensitized trajectory optimization approach
This article studies the problem of trajectory optimization for autonomous ground vehicles
with the consideration of irregularly placed on-road obstacles and multiple maneuver …
with the consideration of irregularly placed on-road obstacles and multiple maneuver …
Robust set-invariance based fuzzy output tracking control for vehicle autonomous driving under uncertain lateral forces and steering constraints
This paper is concerned with a new control method for path tracking of autonomous ground
vehicles. We exploit the fuzzy model-based control framework to deal with the time-varying …
vehicles. We exploit the fuzzy model-based control framework to deal with the time-varying …
Fuzzy observer-based transitional path-tracking control for autonomous vehicles
This study addresses the path-tracking control issue of autonomous vehicles (AVs) when the
GPS measurement is temporarily unavailable. In such a case, the vehicle states, location or …
GPS measurement is temporarily unavailable. In such a case, the vehicle states, location or …