Survey of deep reinforcement learning for motion planning of autonomous vehicles

S Aradi - IEEE Transactions on Intelligent Transportation …, 2020 - ieeexplore.ieee.org
MOTION planning for autonomous vehicle functions is a vast … research papers about
autonomous vehicles and the DRL … the complexity of the different motion planning problems, it is …

A review of motion planning for highway autonomous driving

L Claussmann, M Revilloud, D Gruyer… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
… The objective of this paper was to identify the main methods of motion planning for
autonomous vehicles in the highway case. We do not claim to have exhaustively gathered all …

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
… model, which uses different potential functions to describe surrounding vehicles with … and
trajectory of the autonomous vehicle. Finally, the decision-making and motion planning is then …

System and experiments of model-driven motion planning and control for autonomous vehicles

S Xu, R Zidek, Z Cao, P Lu, X Wang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
… in perception, prediction, and motion planning in complex situations. This article focuses on
motion planning and control, two of the crucial functions for autonomous driving. Various algo…

Crash mitigation in motion planning for autonomous vehicles

H Wang, Y Huang, A Khajepour… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
… on motion planning for autonomous vehicles to … for autonomous systems. Section III presents
the control design for the crash mitigation motion planning including modeling of the vehicle

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 … In
critical decision making process during motion of an AV, intelligent motion planning takes an …

A novel local motion planning framework for autonomous vehicles based on resistance network and model predictive control

Y Huang, H Wang, A Khajepour, H Ding… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
motion planning framework in a hierarchical manner to achieve a balance between these
criteria. In the upper layer, a path-planning … the alternative path for the vehicle in a macro-scale …

Safe reinforcement learning with stability guarantee for motion planning of autonomous vehicles

L Zhang, R Zhang, T Wu, R Weng… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
… In this article, a safe motion planning algorithm for autonomous vehicles is developed by
combining the method, which utilizes a neural network to predict collision probability with the …

Review of learning-based longitudinal motion planning for autonomous vehicles: research gaps between self-driving and traffic congestion

H Zhou, J Laval, A Zhou, Y Wang… - Transportation …, 2022 - journals.sagepub.com
… use of machine learning longitudinal motion planning (mMP) for autonomous vehicles (AVs). …
impacts of autonomous vehicles (AVs) and connected and autonomous vehicles (CAVs) on …

A motion planning and tracking framework for autonomous vehicles based on artificial potential field elaborated resistance network approach

Y Huang, H Ding, Y Zhang, H Wang… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
… This paper presented a motion planning and tracking framework by using the resistance …
for autonomous vehicles. Since the classic resistance network only solves the path-planning