32 citations · 32 across the 4 of their papers we have counts for
4 papers
Collaborative Trajectory Prediction via Late Fusion
Nadya Abdel Madjid, Murad Mebrahtu, Zakhar Yagudin +5
Predicting future trajectories of surrounding traffic agents is critical for safe autonomous navigation and collision avoidance. Despite all advances in the trajectory forecasting…
Visual Prompt Based Reasoning for Offroad Mapping using Multimodal LLMs
Abdelmoamen Nasser, Yousef Baba'a, Murad Mebrahtu +3
Traditional approaches to off-road autonomy rely on separate models for terrain classification, height estimation, and quantifying slip or slope conditions. Utilizing several model…
Trajectory Prediction for Autonomous Driving: Progress, Limitations, and Future Directions
Nadya Abdel Madjid, Abdulrahman Ahmad, Murad Mebrahtu +7
As the potential for autonomous vehicles to be integrated on a large scale into modern traffic systems continues to grow, ensuring safe navigation in dynamic environments is crucia…
EMT: A Visual Multi-Task Benchmark Dataset for Autonomous Driving
Nadya Abdel Madjid, Murad Mebrahtu, Abdulrahman Ahmad +5
This paper introduces the Emirates Multi-Task (EMT) dataset, designed to support multi-task benchmarking within a unified framework. It comprises over 30,000 frames from a dash-cam…