CitySim: A Drone-Based Vehicle Trajectory Dataset for Safety Oriented Research and Digital Twins. - Ou Zheng; Mohamed A. Abdel-Aty; Lishengsa Yue; Amr Abdelraouf; Zijin Wang; Nada Mahmoud (CoRR, 2022)

Trajectory Prediction for Vehicle Conflict Identification at Intersections Using Sequence-to-Sequence Recurrent Neural Networks. - Amr Abdelraouf; Mohamed A. Abdel-Aty; Zijin Wang; Ou Zheng (CoRR, 2022)

Using Vision Transformers for Spatial-Context-Aware Rain and Road Surface Condition Detection on Freeways. - Amr Abdelraouf; Mohamed A. Abdel-Aty; Yina Wu (IEEE Trans. Intell. Transp. Syst., 2022)

Utilizing Attention-Based Multi-Encoder-Decoder Neural Networks for Freeway Traffic Speed Prediction. - Amr Abdelraouf; Mohamed A. Abdel-Aty; Jinghui Yuan (IEEE Trans. Intell. Transp. Syst., 2022)

M2DAR: Multi-View Multi-Scale Driver Action Recognition with Vision Transformer. - Yunsheng Ma; Liangqi Yuan; Amr Abdelraouf; Kyungtae Han; Rohit Gupta; Zihao Li; Ziran Wang (CVPR Workshops, 2023)

Personalized Trajectory Prediction for Driving Behavior Modeling in Ramp-Merging Scenarios. - Siyan Li; Chuheng Wei; Guoyuan Wu 001; Matthew J. Barth; Amr Abdelraouf; Rohit Gupta; Kyungtae Han (IRC, 2023)

Interaction-Aware Personalized Vehicle Trajectory Prediction Using Temporal Graph Neural Networks. - Amr Abdelraouf; Rohit Gupta; Kyungtae Han (ITSC, 2023)

CEMFormer: Learning to Predict Driver Intentions from in-Cabin and External Cameras via Spatial-Temporal Transformers. - Yunsheng Ma; Wenqian Ye; Xu Cao; Amr Abdelraouf; Kyungtae Han; Rohit Gupta; Ziran Wang (ITSC, 2023)

Inverse Reinforcement Learning and Gaussian Process Regression-based Real-Time Framework for Personalized Adaptive Cruise Control. - Zhouqiao Zhao; Xishun Liao; Amr Abdelraouf; Kyungtae Han; Rohit Gupta; Matthew J. Barth; Guoyuan Wu 001 (ITSC, 2023)

Real-Time Learning of Driving Gap Preference for Personalized Adaptive Cruise Control. - Zhouqiao Zhao; Xishun Liao; Amr Abdelraouf; Kyungtae Han; Rohit Gupta; Matthew J. Barth; Guoyuan Wu 001 (SMC, 2023)

Advances and Applications of Computer Vision Techniques in Vehicle Trajectory Generation and Surrogate Traffic Safety Indicators. - Mohamed A. Abdel-Aty; Zijin Wang; Ou Zheng; Amr Abdelraouf (CoRR, 2023)

Sequence-to-Sequence Recurrent Graph Convolutional Networks for Traffic Estimation and Prediction Using Connected Probe Vehicle Data. - Amr Abdelraouf; Mohamed A. Abdel-Aty; Nada Mahmoud (IEEE Trans. Intell. Transp. Syst., 2023)

LaMPilot: An Open Benchmark Dataset for Autonomous Driving with Language Model Programs. - Yunsheng Ma; Can Cui; Xu Cao; Wenqian Ye; Peiran Liu; Juanwu Lu; Amr Abdelraouf; Rohit Gupta; Kyungtae Han; Aniket Bera; James M. Rehg; Ziran Wang (CVPR, 2024)

KI-GAN: Knowledge-Informed Generative Adversarial Networks for Enhanced Multi-Vehicle Trajectory Forecasting at Signalized Intersections. - Chuheng Wei; Guoyuan Wu 001; Matthew J. Barth; Amr Abdelraouf; Rohit Gupta; Kyungtae Han (CVPR Workshops, 2024)

Driving through the Concept Gridlock: Unraveling Explainability Bottlenecks in Automated Driving. - Jessica Maria Echterhoff; An Yan 003; Kyungtae Han; Amr Abdelraouf; Rohit Gupta; Julian J. McAuley (WACV, 2024)

Investigating Personalized Driving Behaviors in Dilemma Zones: Analysis and Prediction of Stop-or-Go Decisions. - Ziye Qin; Siyan Li; Guoyuan Wu 001; Matthew J. Barth; Amr Abdelraouf; Rohit Gupta; Kyungtae Han (CoRR, 2024)

Video Token Sparsification for Efficient Multimodal LLMs in Autonomous Driving. - Yunsheng Ma; Amr Abdelraouf; Rohit Gupta; Ziran Wang; Kyungtae Han (CoRR, 2024)

Large Language Models for Autonomous Driving (LLM4AD): Concept, Benchmark, Simulation, and Real-Vehicle Experiment. - Can Cui; Yunsheng Ma; Zichong Yang; Yupeng Zhou; Peiran Liu; Juanwu Lu; Lingxi Li; Yaobin Chen; Jitesh H. Panchal; Amr Abdelraouf; Rohit Gupta; Kyungtae Han; et al. (CoRR, 2024)

Driver Digital Twin for Online Recognition of Distracted Driving Behaviors. - Yunsheng Ma; Runjia Du; Amr Abdelraouf; Kyungtae Han; Rohit Gupta; Ziran Wang (IEEE Trans. Intell. Veh., 2024)

A Review of Personalization in Driving Behavior: Dataset, Modeling, and Validation. - Xishun Liao; Zhouqiao Zhao; Matthew J. Barth; Amr Abdelraouf; Rohit Gupta; Kyungtae Han; Jiaqi Ma 003; Guoyuan Wu 001 (IEEE Trans. Intell. Veh., 2025)

PDB: Not All Drivers Are the Same - A Personalized Dataset for Understanding Driving Behavior. - Chuheng Wei; Ziye Qin; Siyan Li; Ziyan Zhang; Xuanpeng Zhao; Amr Abdelraouf; Rohit Gupta; Kyungtae Han; Matthew J. Barth; Guoyuan Wu 001 (CoRR, 2025)

PDB-Eval: An Evaluation of Large Multimodal Models for Description and Explanation of Personalized Driving Behavior. - Junda Wu; Jessica Maria Echterhoff; Kyungtae Han; Amr Abdelraouf; Rohit Gupta; Julian J. McAuley (CoRR, 2025)

Investigating Personalized Driving Behaviors in Dilemma Zones: Analysis and Prediction of Stop-or-Go Decisions. - Ziye Qin; Siyan Li; Chuheng Wei; Guoyuan Wu 001; Matthew J. Barth; Amr Abdelraouf; Rohit Gupta; Kyungtae Han (IEEE Robotics Autom. Lett., 2025)