Amr Abdelraouf

According to our database, Amr Abdelraouf authored at least 14 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Driving through the Concept Gridlock: Unraveling Explainability Bottlenecks in Automated Driving.

Jessica Maria Echterhoff, An Yan, Kyungtae Han, Amr Abdelraouf, Rohit Gupta, Julian J. McAuley

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

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., January, 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

CoRR, 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

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

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 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

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 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

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Interaction-Aware Personalized Vehicle Trajectory Prediction Using Temporal Graph Neural Networks.

Amr Abdelraouf, Rohit Gupta, Kyungtae Han

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Personalized Trajectory Prediction for Driving Behavior Modeling in Ramp-Merging Scenarios.

Siyan Li, Chuheng Wei, Guoyuan Wu, Matthew J. Barth, Amr Abdelraouf, Rohit Gupta, Kyungtae Han

Proceedings of the Seventh IEEE International Conference on Robotic Computing, 2023

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

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

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

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

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