Amr Abdelraouf
Orcid: 0000-0001-9068-6664
According to our database1,
Amr Abdelraouf
authored at least 19 papers
between 2022 and 2024.
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Bibliography
2024
IEEE Trans. Intell. Veh., February, 2024
Large Language Models for Autonomous Driving (LLM4AD): Concept, Benchmark, Simulation, and Real-Vehicle Experiment.
CoRR, 2024
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