[HTML][HTML] Model predictive path tracking control for automated road vehicles: A review

P Stano, U Montanaro, D Tavernini, M Tufo… - Annual reviews in …, 2023 - Elsevier
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 …

Model predictive control for autonomous ground vehicles: A review

S Yu, M Hirche, Y Huang, H Chen… - Autonomous Intelligent …, 2021 - Springer
This paper reviews model predictive control (MPC) and its wide applications to both single
and multiple autonomous ground vehicles (AGVs). On one hand, MPC is a well-established …

Microscopic traffic modeling inside intersections: Interactions between drivers

J Zhao, VL Knoop, M Wang - Transportation science, 2023 - pubsonline.informs.org
Microscopic traffic flow models enable predictions of traffic operations, which allows traffic
engineers to assess the efficiency and safety effects of roadway designs. Modeling vehicle …

An integrated framework of decision making and motion planning for autonomous vehicles considering social behaviors

P Hang, C Lv, C Huang, J Cai, Z Hu… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
This paper presents a novel integrated approach to deal with the decision making and
motion planning for lane-change maneuvers of autonomous vehicle (AV) considering social …

Risk assessment and mitigation in local path planning for autonomous vehicles with LSTM based predictive model

H Wang, B Lu, J Li, T Liu, Y **ng, C Lv… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Accurate trajectory prediction of surrounding vehicles enables lower risk path planning in
advance for autonomous vehicles, thus promising the safety of automated driving. A low-risk …

Cooperative decision making of connected automated vehicles at multi-lane merging zone: A coalitional game approach

P Hang, C Lv, C Huang, Y **ng… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
To address the safety and efficiency issues of vehicles at multi-lane merging zones, a
cooperative decision-making framework is designed for connected automated vehicles …

Multi-modal and multi-scale fusion 3D object detection of 4D radar and LiDAR for autonomous driving

L Wang, X Zhang, J Li, B Xv, R Fu… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Multi-modal fusion overcomes the inherent limitations of single-sensor perception in 3D
object detection of autonomous driving. The fusion of 4D Radar and LiDAR can boost the …