32 citations · 45 across the 14 of their papers we have counts for
14 papers
Polycepta: Object-Centric Appearance Estimation for Multi-Object Tracking
Mohamed Nagy, Naoufel Werghi, Jorge Dias +1
The tracking-by-detection paradigm in multi-object tracking (MOT) typically relies on static appearance descriptors to complement motion estimation. However, these descriptors are…
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…
EagleVision: A Multi-Task Benchmark for Cross-Domain Perception in High-Speed Autonomous Racing
Zakhar Yagudin, Murad Mebrahtu, Ren Jin +5
High-speed autonomous racing presents extreme perception challenges, including large relative velocities and substantial domain shifts from conventional urban-driving datasets. Exi…
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…
Collaborative Last-Mile Delivery: A Multi-Platform Vehicle Routing Problem With En-route Charging
Sumbal Malik, Majid Khonji, Khaled Elbassioni +1
The rapid growth of e-commerce and the increasing demand for timely, cost-effective last-mile delivery have increased interest in collaborative logistics. This research introduces…
Towards Accurate State Estimation: Motion Dynamics Kalman Filter for 3D Multi-Object Tracking
Mohamed Nagy, Naoufel Werghi, Bilal Hassan +2
Robust 3D state estimation in multi-object tracking is crucial for object localization in self-driving vehicles. Misalignment between the Kalman filter (KF) motion model and an obj…
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…
RobMOT: Robust 3D Multi-Object Tracking by Observational Noise and State Estimation Drift Mitigation on LiDAR PointCloud
Mohamed Nagy, Naoufel Werghi, Bilal Hassan +2
This paper addresses limitations in 3D tracking-by-detection methods, particularly in identifying legitimate trajectories and reducing state estimation drift in Kalman filters. Exi…
Towards Autonomous and Safe Last-mile Deliveries with AI-augmented Self-driving Delivery Robots
Eyad Shaklab, Areg Karapetyan, Arjun Sharma +5
In addition to its crucial impact on customer satisfaction, last-mile delivery (LMD) is notorious for being the most time-consuming and costly stage of the shipping process. Pressi…
DFR-FastMOT: Detection Failure Resistant Tracker for Fast Multi-Object Tracking Based on Sensor Fusion
Mohamed Nagy, Majid Khonji, Jorge Dias +1
Persistent multi-object tracking (MOT) allows autonomous vehicles to navigate safely in highly dynamic environments. One of the well-known challenges in MOT is object occlusion whe…
Building Resilience to Out-of-Distribution Visual Data via Input Optimization and Model Finetuning
Christopher J. Holder, Majid Khonji, Jorge Dias +1
A major challenge in machine learning is resilience to out-of-distribution data, that is data that exists outside of the distribution of a model's training data. Training is often…
Multi-Agent Chance-Constrained Stochastic Shortest Path with Application to Risk-Aware Intelligent Intersection
Majid Khonji, Rashid Alyassi, Wolfgang Merkt +5
In transportation networks, where traffic lights have traditionally been used for vehicle coordination, intersections act as natural bottlenecks. A formidable challenge for existin…
Risk-Aware Reasoning for Autonomous Vehicles
Majid Khonji, Jorge Dias, Lakmal Seneviratne
A significant barrier to deploying autonomous vehicles (AVs) on a massive scale is safety assurance. Several technical challenges arise due to the uncertain environment in which AV…