[HTML][HTML] A review of occluded objects detection in real complex scenarios for autonomous driving
Autonomous driving is a promising way to future safe, efficient, and low-carbon
transportation. Real-time accurate target detection is an essential precondition for the …
transportation. Real-time accurate target detection is an essential precondition for the …
Online trajectory replanning for sudden environmental changes during automated parking: A parallel stitching method
Trajectory planning for automated parking has been widely known as more challenging than
that for on-road driving due to the nonconvex kinematics, high-dimensional collision …
that for on-road driving due to the nonconvex kinematics, high-dimensional collision …
Efficient safety-enhanced velocity planning for autonomous driving with chance constraints
Velocity planning is an important module of autonomous driving, which aims to generate the
velocity profile given a reference path. However, most existing algorithms fail to adequately …
velocity profile given a reference path. However, most existing algorithms fail to adequately …
Spatiotemporal Receding Horizon Control with Proactive Interaction Towards Autonomous Driving in Dense Traffic
In dense traffic scenarios, ensuring safety while keeping high task performance for
autonomous driving is a critical challenge. To address this problem, this paper proposes a …
autonomous driving is a critical challenge. To address this problem, this paper proposes a …
[HTML][HTML] A hierarchical framework of decision making and trajectory tracking control for autonomous vehicles
T Wang, D Qu, H Song, S Dai - Sustainability, 2023 - mdpi.com
Most of the existing research in the field of autonomous vehicles (AVs) addresses decision
making, planning and control as separate factors which may affect AV performance in …
making, planning and control as separate factors which may affect AV performance in …
Research on vehicle obstacle avoidance path planning based on APF-PSO
H Wu, Y Zhang, L Huang, J Zhang… - Proceedings of the …, 2023 - journals.sagepub.com
The existing vehicle obstacle avoidance path planning methods generally aim at obtaining
the collision-free path, ignoring the impact of the planned path on the vehicle stability in the …
the collision-free path, ignoring the impact of the planned path on the vehicle stability in the …
Toward human-like automated vehicles: Review and perspectives on behavioural decision making and intelligent motion planning
J Xie, Y Qin, Y Zhang, T Chen… - … Safety and Environment, 2024 - academic.oup.com
Rapid advancements in automated vehicles (AVs) technology have transformed the
measurability, controllability, and unpredictability of transportation systems. Evaluating …
measurability, controllability, and unpredictability of transportation systems. Evaluating …
Time or reward: Digital-twin enabled personalized vehicle path planning
Efficient path planning is the key enabling technology for the realization of intelligent
transportation systems (ITS). However, due to poor real-time performance and lack of …
transportation systems (ITS). However, due to poor real-time performance and lack of …
Analysis on Braess paradox and network design considering parking in the autonomous vehicle environment
This study is the first in the literature to examine the Braess paradox considering parking
behavior in the autonomous vehicle (AV) environment, based on which the network design …
behavior in the autonomous vehicle (AV) environment, based on which the network design …
Spatiotemporal receding horizon control with proactive interaction towards safe and efficient autonomous driving in dense traffic
In dense traffic scenarios, ensuring safety while keeping high task performance for
autonomous driving is a critical challenge. To address this problem, this paper proposes a …
autonomous driving is a critical challenge. To address this problem, this paper proposes a …