83 citations · 265 across the 29 of their papers we have counts for
6 papers · 1 filter
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…
A Physics Enhanced Residual Learning (PERL) Framework for Vehicle Trajectory Prediction
Keke Long, Zihao Sheng, Haotian Shi +3
In vehicle trajectory prediction, physics models and data-driven models are two predominant methodologies. However, each approach presents its own set of challenges: physics models…
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…
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…
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)…
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…