most citedCV2X-LOCA: Roadside Unit-Enabled Cooperative Localization Framework for Autonomous Vehicles

4 citations · 12 across the 6 of their papers we have counts for

collaborators

6 papers

cs.RO20242 cited

Trustworthy Human-AI Collaboration: Reinforcement Learning with Human Feedback and Physics Knowledge for Safe Autonomous Driving

Zilin Huang, Zihao Sheng, Sikai Chen

In the field of autonomous driving, developing safe and trustworthy autonomous driving policies remains a significant challenge. Recently, Reinforcement Learning with Human Feedbac…

cs.RO2023

PFL-LSTR: A privacy-preserving framework for driver intention inference based on in-vehicle and out-vehicle information

Runjia Du, Pei Li, Sikai Chen +1

Intelligent vehicle anticipation of the movement intentions of other drivers can reduce collisions. Typically, when a human driver of another vehicle (referred to as the target veh…

cs.RO20231 cited

Deep Reinforcement Learning Based Framework for Mobile Energy Disseminator Dispatching to Charge On-the-Road Electric Vehicles

Jiaming Wang, Jiqian Dong, Sikai Chen +2

The exponential growth of electric vehicles (EVs) presents novel challenges in preserving battery health and in addressing the persistent problem of vehicle range anxiety. To addre…

cs.AI20232 cited

Transfusor: Transformer Diffusor for Controllable Human-like Generation of Vehicle Lane Changing Trajectories

Jiqian Dong, Sikai Chen, Samuel Labi

With ongoing development of autonomous driving systems and increasing desire for deployment, researchers continue to seek reliable approaches for ADS systems. The virtual simulatio…

cs.RO20234 cited

CV2X-LOCA: Roadside Unit-Enabled Cooperative Localization Framework for Autonomous Vehicles

Zilin Huang, Sikai Chen, Yuzhuang Pian +3

An accurate and robust localization system is crucial for autonomous vehicles (AVs) to enable safe driving in urban scenes. While existing global navigation satellite system (GNSS)…

cs.LG20233 cited

EPG-MGCN: Ego-Planning Guided Multi-Graph Convolutional Network for Heterogeneous Agent Trajectory Prediction

Zihao Sheng, Zilin Huang, Sikai Chen

To drive safely in complex traffic environments, autonomous vehicles need to make an accurate prediction of the future trajectories of nearby heterogeneous traffic agents (i.e., ve…