Motion planning for autonomous driving: The state of the art and future perspectives

S Teng, X Hu, P Deng, B Li, Y Li, Y Ai… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Intelligent vehicles (IVs) have gained worldwide attention due to their increased
convenience, safety advantages, and potential commercial value. Despite predictions of …

Recent advances in motion and behavior planning techniques for software architecture of autonomous vehicles: A state-of-the-art survey

O Sharma, NC Sahoo, NB Puhan - Engineering applications of artificial …, 2021 - Elsevier
Autonomous vehicles (AVs) have now drawn significant attentions in academic and
industrial research because of various advantages such as safety improvement, lower …

Autonomous driving on curvy roads without reliance on frenet frame: A cartesian-based trajectory planning method

B Li, Y Ouyang, L Li, Y Zhang - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
Curvy roads are a particular type of urban road scenario, wherein the curvature of the road
centerline changes drastically. This paper is focused on the trajectory planning task for …

Milestones in autonomous driving and intelligent vehicles—part ii: Perception and planning

L Chen, S Teng, B Li, X Na, Y Li, Z Li… - … on Systems, Man …, 2023 - ieeexplore.ieee.org
A growing interest in autonomous driving (AD) and intelligent vehicles (IVs) is fueled by their
promise for enhanced safety, efficiency, and economic benefits. While previous surveys …

Personalized trajectory planning and control of lane-change maneuvers for autonomous driving

C Huang, H Huang, P Hang, H Gao… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
With the aims of safe, smart and sustainable future mobility, a personalized approach of
trajectory planning and control based on user preferences is developed for lane-change of …

Hybrid trajectory planning for autonomous driving in on-road dynamic scenarios

W Lim, S Lee, M Sunwoo, K Jo - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
A safe trajectory planning for on-road autonomous driving is a challenging problem owing to
the variety and complexity of driving environments. The problem should involve the …

Path planning on large curvature roads using driver-vehicle-road system based on the kinematic vehicle model

J Wang, Y Yan, K Zhang, Y Chen… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Path planning is a critical part for improving the driving safety and driver comfort of
autonomous vehicles (AVs), especially in complex maneuvering conditions. In addition …

Hybrid trajectory planning for autonomous driving in highly constrained environments

Y Zhang, H Chen, SL Waslander, J Gong… - IEEE …, 2018 - ieeexplore.ieee.org
In this paper, we introduce a novel and efficient hybrid trajectory planning method for
autonomous driving in highly constrained environments. The contributions of this paper are …

Multiobjective optimization of lane-changing strategy for intelligent vehicles in complex driving environments

J Zhou, H Zheng, J Wang, Y Wang… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
This paper describes an optimal lane-changing strategy for intelligent vehicles under the
constraints of collision avoidance in complex driving environments. The key technique is …

A novel combined decision and control scheme for autonomous vehicle in structured road based on adaptive model predictive control

Y Liang, Y Li, A Khajepour, Y Huang… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
In the research of autonomous vehicles, most existing studies treat the decision/planning
and control as two separate problems. This idea originates from robotics. But since there are …