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cs.CV2026

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…

cs.CV2025

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…

cs.CV2025

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…

cs.CV2024

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…

cs.CV2024

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…