Zhezhang Ding

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 8

Top Topics

Vehicle Trajectory

Bayesian Methods

Stochastic Models

Top Venues

IEEE Trans. Intell. Transp. Syst.

IEEE Trans. Intell. Veh.

Publications

Zhezhang Ding, Huijing Zhao
Incorporating Driving Knowledge in Deep Learning Based Vehicle Trajectory Prediction: A Survey. IEEE Trans. Intell. Veh. 8 (8) (2023)
Zhezhang Ding, Donghao Xu, Chenfeng Tu, Huijing Zhao, Mathieu Moze, François Aioun, Franck Guillemard
Driver Identification Through Heterogeneity Modeling in Car-Following Sequences. IEEE Trans. Intell. Transp. Syst. 23 (10) (2022)
Zhezhang Ding, Ziyang Yao, Huijing Zhao
RA-GAT: Repulsion and Attraction Graph Attention for Trajectory Prediction. ITSC (2021)
Donghao Xu, Zhezhang Ding, Xu He, Huijing Zhao, Mathieu Moze, François Aioun, Franck Guillemard
Learning From Naturalistic Driving Data for Human-Like Autonomous Highway Driving. IEEE Trans. Intell. Transp. Syst. 22 (12) (2021)
Donghao Xu, Zhezhang Ding, Xu He, Huijing Zhao, Mathieu Moze, François Aioun, Franck Guillemard
Learning from Naturalistic Driving Data for Human-like Autonomous Highway Driving. CoRR (2020)
Donghao Xu, Zhezhang Ding, Chenfeng Tu, Huijing Zhao, Mathieu Moze, François Aioun, Franck Guillemard
Driver Identification through Stochastic Multi-State Car-Following Modeling. CoRR (2020)
Zhezhang Ding, Donghao Xu, Huijing Zhao, Mathieu Moze, François Aioun, Franck Guillemard
Driver Identification through Multi-state Car Following Modeling. ITSC (2019)
Donghao Xu, Zhezhang Ding, Huijing Zhao, Mathieu Moze, François Aioun, Franck Guillemard
Naturalistic Lane Change Analysis for Human-Like Trajectory Generation. Intelligent Vehicles Symposium (2018)