Amr Abdelraouf

Orcid: 0000-0001-9068-6664

According to our database1, Amr Abdelraouf authored at least 19 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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On csauthors.net:

Bibliography

2024
Driver Digital Twin for Online Recognition of Distracted Driving Behaviors.
IEEE Trans. Intell. Veh., February, 2024

Large Language Models for Autonomous Driving (LLM4AD): Concept, Benchmark, Simulation, and Real-Vehicle Experiment.
CoRR, 2024

Video Token Sparsification for Efficient Multimodal LLMs in Autonomous Driving.
CoRR, 2024

Investigating Personalized Driving Behaviors in Dilemma Zones: Analysis and Prediction of Stop-or-Go Decisions.
CoRR, 2024

Driving through the Concept Gridlock: Unraveling Explainability Bottlenecks in Automated Driving.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

KI-GAN: Knowledge-Informed Generative Adversarial Networks for Enhanced Multi-Vehicle Trajectory Forecasting at Signalized Intersections.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

LaMPilot: An Open Benchmark Dataset for Autonomous Driving with Language Model Programs.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Sequence-to-Sequence Recurrent Graph Convolutional Networks for Traffic Estimation and Prediction Using Connected Probe Vehicle Data.
IEEE Trans. Intell. Transp. Syst., January, 2023

Advances and Applications of Computer Vision Techniques in Vehicle Trajectory Generation and Surrogate Traffic Safety Indicators.
CoRR, 2023

Real-Time Learning of Driving Gap Preference for Personalized Adaptive Cruise Control.
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.
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.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Interaction-Aware Personalized Vehicle Trajectory Prediction Using Temporal Graph Neural Networks.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Personalized Trajectory Prediction for Driving Behavior Modeling in Ramp-Merging Scenarios.
Proceedings of the Seventh IEEE International Conference on Robotic Computing, 2023

M<sup>2</sup>DAR: Multi-View Multi-Scale Driver Action Recognition with Vision Transformer.
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.
IEEE Trans. Intell. Transp. Syst., 2022

Using Vision Transformers for Spatial-Context-Aware Rain and Road Surface Condition Detection on Freeways.
IEEE Trans. Intell. Transp. Syst., 2022

Trajectory Prediction for Vehicle Conflict Identification at Intersections Using Sequence-to-Sequence Recurrent Neural Networks.
CoRR, 2022

CitySim: A Drone-Based Vehicle Trajectory Dataset for Safety Oriented Research and Digital Twins.
CoRR, 2022


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