A comparative study of state-of-the-art driving strategies for autonomous vehicles

C Zhao, L Li, X Pei, Z Li, FY Wang, X Wu - Accident Analysis & Prevention, 2021 - Elsevier
The autonomous vehicle is regarded as a promising technology with the potential to
reshape mobility and solve many traffic issues, such as accessibility, efficiency …

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
This paper presents a novel integrated approach to deal with the decision making and
motion planning for lane-change maneuvers of autonomous vehicle (AV) considering social …

Risk assessment based collision avoidance decision-making for autonomous vehicles in multi-scenarios

G Li, Y Yang, T Zhang, X Qu, D Cao, B Cheng… - … research part C: emerging …, 2021 - Elsevier
In this paper, we proposed a new risk assessment based decision-making algorithm to
guarantee collision avoidance in multi-scenarios for autonomous vehicles. A probabilistic …

Decision-making framework for autonomous driving at road intersections: Safeguarding against collision, overly conservative behavior, and violation vehicles

S Noh - IEEE Transactions on Industrial Electronics, 2018 - ieeexplore.ieee.org
In this paper, we propose a decision-making framework for autonomous driving at road
intersections that determines appropriate maneuvers for an autonomous vehicle to navigate …

Decision making of autonomous vehicles in lane change scenarios: Deep reinforcement learning approaches with risk awareness

G Li, Y Yang, S Li, X Qu, N Lyu, SE Li - Transportation research part C …, 2022 - Elsevier
Driving safety is the most important element that needs to be considered for autonomous
vehicles (AVs). To ensure driving safety, we proposed a lane change decision-making …

A comprehensive review on limitations of autonomous driving and its impact on accidents and collisions

A Chougule, V Chamola, A Sam… - IEEE Open Journal of …, 2023 - ieeexplore.ieee.org
The emergence of autonomous driving represents a pivotal milestone in the evolution of the
transportation system, integrating seamlessly into the daily lives of individuals due to its …

A non-conservatively defensive strategy for urban autonomous driving

W Zhan, C Liu, CY Chan… - 2016 IEEE 19th …, 2016 - ieeexplore.ieee.org
From the driving strategy point of view, a major challenge for autonomous vehicles in urban
environment is to behave defensively to potential dangers, yet to not overreact to threats with …

Machine Learning-Based Vehicle Intention Trajectory Recognition and Prediction for Autonomous Driving

H Yu, S Huo, M Zhu, Y Gong… - 2024 7th International …, 2024 - ieeexplore.ieee.org
In recent years, the expansion of internet technology and advancements in automation have
brought significant attention to autonomous driving technology. Major automobile …

A multi-vehicle game-theoretic framework for decision making and planning of autonomous vehicles in mixed traffic

Y Yan, L Peng, T Shen, J Wang, D Pi… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
To improve the safety, comfort, and efficiency of the intelligent transportation system,
particularly in complex traffic environments where autonomous vehicles (AVs) and human …

Decision-making and planning method for autonomous vehicles based on motivation and risk assessment

Y Wang, C Wang, W Zhao, C Xu - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In order to improve the real-time and computational efficiency of autonomous vehicles'
decision-making process, this paper draws on the decision-making behavior of human …