activity
20182022
most citedOn Social Interactions of Merging Behaviors at Highway On-Ramps in Congested Traffic

51 citations · 89 across the 7 of their papers we have counts for

collaborators

7 papers

cs.RO2022★ 7 cited

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…

cs.RO2022★ 5 cited

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…

cs.RO2021★ 7 cited

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…

cs.RO2021★ 17 cited

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…

cs.RO2020★ 51 cited

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…

cs.CV2020★ 2 cited

A Survey on Sensor Technologies for Unmanned Ground Vehicles

Qi Liu, Shihua Yuan, Zirui Li

Unmanned ground vehicles have a huge development potential in both civilian and military fields, and have become the focus of research in various countries. In addition, high-preci…

cs.RO2018

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…