A Personalized Motion Planning Method with Driver Characteristics in Longitudinal and Lateral Directions

D Zeng, L Zheng, Y Li, J Zeng, K Wang - Electronics, 2023 - mdpi.com
Humanlike driving is significant in improving the safety and comfort of automated vehicles.
This paper proposes a personalized motion planning method with driver characteristics in …

Cognition‐inspired behavioural feature identification and motion planning ways for human‐like automated driving vehicles

S Xie, J Zheng, J Wang - IET Intelligent Transport Systems, 2023 - Wiley Online Library
Human‐like automated driving strategies could have advantages in traffic safety and
comfort. However, the primary features of human‐like driving behaviors are not clear yet. To …

Learning from naturalistic driving data for human-like autonomous highway driving

D Xu, Z Ding, X He, H Zhao, M Moze… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Driving in a human-like manner is important for an autonomous vehicle to be a smart and
predictable traffic participant. To achieve this goal, parameters of the motion planning …

Human-like motion planning of autonomous vehicle based on probabilistic trajectory prediction

P Li, X Pei, Z Chen, X Zhou, J Xu - Applied Soft Computing, 2022 - Elsevier
Motion planning for autonomous vehicles becomes more challenging when both driver
comfort and collision risk are considered. To overcome this challenge, a human-like motion …

Human-Like Autonomous Lane Change Trajectory Planning Based on Driver Risk Perception Model

J Mei, L Luo, M Liu, Y Chen - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Unmanned driving technologies have great potential in improving traffic safety and reducing
driver workload, but the human driving mechanism is rarely considered. Human-like …

A human-like trajectory planning method by learning from naturalistic driving data

X He, D Xu, H Zhao, M Moze, F Aioun… - 2018 IEEE intelligent …, 2018 - ieeexplore.ieee.org
Trajectory planning has generally been framed as finding the lowest cost one from a set of
trajectory candidates, where the cost function has been hand-crafted with carefully tuned …

A human-like trajectory planning method on a curve based on the driver preview mechanism

J Zhao, D Song, B Zhu, Z Sun, J Han… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the development of intelligent vehicle technology, many studies have been focused on
developing human-like trajectory planning methods for automated driving systems. Although …

Automated highway driving decision considering driver characteristics

W Yang, L Zheng, Y Li, Y Ren… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
In the background of autonomous driving at level 3 to level 4, an automated vehicle should
own smarter driving brain to face complicated transportation situations. In order to construct …

A personalized human-like lane-changing trajectory planning method for automated driving system

S Yang, H Zheng, J Wang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This article describes a human-like automated lane-changing system to mimic the lane-
changing maneuver of human drivers in order to make automated vehicles more realistic. In …

A novel velocity planner for autonomous vehicle considering human driver's habits

Z Cui, X Guo, X Pei - 2020 - sae.org
In automatic driving application, the velocity planner can be considered as a key factor to
ensure the safety and comfort. One of the most important tasks of the velocity planner is to …