8 citations · 9 across the 2 of their papers we have counts for
3 papers
cs.AI2024
Critical Example Mining for Vehicle Trajectory Prediction using Flow-based Generative Models
Zhezhang Ding, Huijing Zhao
Precise trajectory prediction in complex driving scenarios is essential for autonomous vehicles. In practice, different driving scenarios present varying levels of difficulty for t…
cs.CV2020★ 8 cited
Learning from Naturalistic Driving Data for Human-like Autonomous Highway Driving
Donghao Xu, Zhezhang Ding, Xu He +4
Driving in a human-like manner is important for an autonomous vehicle to be a smart and predictable traffic participant. To achieve this goal, parameters of the motion planning mod…
cs.CV2020★ 1 cited
Driver Identification through Stochastic Multi-State Car-Following Modeling
Donghao Xu, Zhezhang Ding, Chenfeng Tu +4
Intra-driver and inter-driver heterogeneity has been confirmed to exist in human driving behaviors by many studies. In this study, a joint model of the two types of heterogeneity i…