51 citations · 89 across the 7 of their papers we have counts for
6 papers · 1 filter
Graph Reinforcement Learning Application to Co-operative Decision-Making in Mixed Autonomy Traffic: Framework, Survey, and Challenges
Qi Liu, Xueyuan Li, Zirui Li +5
Proper functioning of connected and automated vehicles (CAVs) is crucial for the safety and efficiency of future intelligent transport systems. Meanwhile, transitioning to fully au…
Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent Decision-Making in Mixed Traffic Environments
Qi Liu, Zirui Li, Xueyuan Li +2
An efficient and reliable multi-agent decision-making system is highly demanded for the safe and efficient operation of connected autonomous vehicles in intelligent transportation…
Decision-Making Technology for Autonomous Vehicles Learning-Based Methods, Applications and Future Outlook
Qi Liu, Xueyuan Li, Shihua Yuan +1
Autonomous vehicles have a great potential in the application of both civil and military fields, and have become the focus of research with the rapid development of science and eco…
Uncovering Interpretable Internal States of Merging Tasks at Highway On-Ramps for Autonomous Driving Decision-Making
Huanjie Wang, Wenshuo Wang, Shihua Yuan +1
Humans make daily routine decisions based on their internal states in intricate interaction scenarios. This paper presents a probabilistically reconstructive learning approach to i…
On Social Interactions of Merging Behaviors at Highway On-Ramps in Congested Traffic
Huanjie Wang, Wenshuo Wang, Shihua Yuan +2
Merging at highway on-ramps while interacting with other human-driven vehicles is challenging for autonomous vehicles (AVs). An efficient route to this challenge requires exploring…
Research on Control Method and Evaluation System of Ground Unmanned Vehicle Formation Transform
Tianyu Shi, Zhichao Wang, Chong hao Zou +5
In this paper,we design a formation control systrm for multi-unmanned ground vehicles(UGV) from the prospective of path planning and path tracking.The master-slave control is adopt…