Social interactions for autonomous driving: A review and perspectives

W Wang, L Wang, C Zhang, C Liu… - Foundations and Trends …, 2022 - nowpublishers.com
No human drives a car in a vacuum; she/he must negotiate with other road users to achieve
their goals in social traffic scenes. A rational human driver can interact with other road users …

[PDF][PDF] Human-cyber-physical system for Industry 5.0: A review from a human-centric perspective

S Lou, Z Hu, Y Zhang, Y Feng, M Zhou… - IEEE Trans. Autom. Sci …, 2024 - researchgate.net
Industry 5.0 heralds a new wave of the industrial revolution, placing a spotlight on human-
centric intelligent manufacturing. At the core of Industry 5.0 lies the human-cyberphysical …

A survey on autonomous vehicle control in the era of mixed-autonomy: From physics-based to AI-guided driving policy learning

X Di, R Shi - Transportation research part C: emerging technologies, 2021 - Elsevier
This paper serves as an introduction and overview of the potentially useful models and
methodologies from artificial intelligence (AI) into the field of transportation engineering for …

A survey of cyber-physical systems from a game-theoretic perspective

W Tushar, C Yuen, TK Saha, S Nizami, MR Alam… - IEEE …, 2023 - ieeexplore.ieee.org
With the emergence of the Internet-of-Things (IoT), artificial intelligence, and communication
technologies, cyber-physical systems (CPS) have revolutionized the engineering paradigm …

Deep reinforcement learning based game-theoretic decision-making for autonomous vehicles

M Yuan, J Shan, K Mi - IEEE Robotics and Automation Letters, 2021 - ieeexplore.ieee.org
This letter presents an approach for implementing game-theoretic decision-making in
combination with deep reinforcement learning to allow vehicles to make decisions at an …

Multiplayer pursuit-evasion differential games with malicious pursuers

Y Xu, H Yang, B Jiang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This article investigates the multiplayer pursuit-evasion (MPE) differential games in the
presence of malicious pursuers. First, three types of malicious pursuers, namely greedy …

Control and optimization of batch processes

D Bonvin - Encyclopedia of Systems and Control, 2021 - Springer
A batch process is characterized by the repetition of time-varying operations of finite
duration. Due to the repetition, there are two independent “time” variables, namely, the run …

Engineering ethical behaviors in autonomous industrial cyber-physical human systems

D Trentesaux, S Karnouskos - Cognition, Technology & Work, 2022 - Springer
This paper addresses the engineering of the ethical behaviors of autonomous industrial
cyber-physical human systems in the context of Industry 4.0. An ethical controller is …

Driver modeling through deep reinforcement learning and behavioral game theory

BM Albaba, Y Yildiz - IEEE Transactions on Control Systems …, 2021 - ieeexplore.ieee.org
In this work, a synergistic combination of deep reinforcement learning and hierarchical game
theory is proposed as a modeling framework for behavioral predictions of drivers in highway …

Multi-vehicle conflict management with status and intent sharing under time delays

HM Wang, SS Avedisov, O Altintas… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This paper discusses conflict analysis for multiple vehicles possessing different automation
levels. Two different classes of cooperation, enabled by vehicle-to-everything (V2X) …