[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 …
[HTML][HTML] The relationship between aggressive driving and driver performance: A systematic review with meta-analysis
Traffic crashes remain a leading cause of accidental human death where aggressive driving
is a significant contributing factor. To review the driver's performance presented in …
is a significant contributing factor. To review the driver's performance presented in …
Authority allocation strategy for shared steering control considering human-machine mutual trust level
Human-machine mutual trust has become one of the important factors restricting steer-by-
wire vehicles due to the removal of mechanical connections. To this end, this article …
wire vehicles due to the removal of mechanical connections. To this end, this article …
A novel generation-adversarial-network-based vehicle trajectory prediction method for intelligent vehicular networks
Prediction of the future location of vehicles and other mobile targets is instrumental in
intelligent transportation system applications. In fact, networking schemes and protocols …
intelligent transportation system applications. In fact, networking schemes and protocols …
Lane-change intention inference based on RNN for autonomous driving on highways
Recently, inferring lane change intention has received considerable attention. Due to the
high nonlinearity and complexity of traffic contexts, traditional methods cannot satisfy the …
high nonlinearity and complexity of traffic contexts, traditional methods cannot satisfy the …
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 …
[HTML][HTML] Injecting knowledge in data-driven vehicle trajectory predictors
Vehicle trajectory prediction tasks have been commonly tackled from two distinct
perspectives: either with knowledge-driven methods or more recently with data-driven ones …
perspectives: either with knowledge-driven methods or more recently with data-driven ones …
A practical trajectory tracking control of autonomous vehicles using linear time-varying MPC method
With the rapid development and implementation of autonomous vehicles (AVs), the
simultaneous and accurate trajectory tracking problem for such AVs has become a popular …
simultaneous and accurate trajectory tracking problem for such AVs has become a popular …
Holistic adaptive multi-model predictive control for the path following of 4WID autonomous vehicles
Y Liang, Y Li, A Khajepour… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This paper presents a novel adaptive multiple-model predictive control (MPC) scheme for
Four-Wheel Independent Drive (4WID) autonomous vehicles with a holistic structure. Firstly …
Four-Wheel Independent Drive (4WID) autonomous vehicles with a holistic structure. Firstly …
Interaction-aware cut-in trajectory prediction and risk assessment in mixed traffic
Accurately predicting the trajectories of surrounding vehicles and assessing the collision
risks are essential to avoid side and rear-end collisions caused by cut-in. To improve the …
risks are essential to avoid side and rear-end collisions caused by cut-in. To improve the …