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[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 …
Model predictive control for autonomous ground vehicles: A review
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 …
and multiple autonomous ground vehicles (AGVs). On one hand, MPC is a well-established …
Microscopic traffic modeling inside intersections: Interactions between drivers
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 …
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
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 …
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
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 …
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
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 …
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
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 …
object detection of autonomous driving. The fusion of 4D Radar and LiDAR can boost the …