8 citations · 15 across the 9 of their papers we have counts for
9 papers
Bandwidth-adaptive Cloud-Assisted 360-Degree 3D Perception for Autonomous Vehicles
Faisal Hawladera, Rui Meireles, Gamal Elghazaly +2
A key challenge for autonomous driving lies in maintaining real-time situational awareness regarding surrounding obstacles under strict latency constraints. The high processing req…
Driving scenario generation and evaluation using a structured layer representation and foundational models
Arthur Hubert, Gamal Elghazaly, Raphaël Frank
Rare and challenging driving scenarios are critical for autonomous vehicle development. Since they are difficult to encounter, simulating or generating them using generative models…
Leveraging V2X for Collaborative HD Maps Construction Using Scene Graph Generation
Gamal Elghazaly, Raphael Frank
High-Definition (HD) maps play a crucial role in autonomous vehicle navigation, complementing onboard perception sensors for improved accuracy and safety. Traditional HD map genera…
5G-Enabled Teleoperated Driving: An Experimental Evaluation
Mehdi Testouri, Gamal Elghazaly, Faisal Hawlader +1
Teleoperated driving enables remote human intervention in autonomous vehicles, addressing challenges in complex driving environments. However, its effectiveness depends on ultra-lo…
Editing Implicit and Explicit Representations of Radiance Fields: A Survey
Arthur Hubert, Gamal Elghazaly, Raphael Frank
Neural Radiance Fields (NeRF) revolutionized novel view synthesis in recent years by offering a new volumetric representation, which is compact and provides high-quality image rend…
DENSER: 3D Gaussians Splatting for Scene Reconstruction of Dynamic Urban Environments
Mahmud A. Mohamad, Gamal Elghazaly, Arthur Hubert +1
This paper presents DENSER, an efficient and effective approach leveraging 3D Gaussian splatting (3DGS) for the reconstruction of dynamic urban environments. While several methods…
RoboCar: A Rapidly Deployable Open-Source Platform for Autonomous Driving Research
Mehdi Testouri, Gamal Elghazaly, Raphael Frank
This paper introduces RoboCar, an open-source research platform for autonomous driving developed at the University of Luxembourg. RoboCar provides a modular, cost-effective framewo…
Towards a Safe Real-Time Motion Planning Framework for Autonomous Driving Systems: An MPPI Approach
Mehdi Testouri, Gamal Elghazaly, Raphael Frank
Planning safe trajectories in Autonomous Driving Systems (ADS) is a complex problem to solve in real-time. The main challenge to solve this problem arises from the various conditio…
FastCycle: A Message Sharing Framework for Modular Automated Driving Systems
Mehdi Testouri, Gamal Elghazaly, Raphael Frank
Automated Driving Systems (ADS) have rapidly evolved in recent years and their architecture becomes sophisticated. Ensuring robustness, reliability and safety of performance is par…