activity
20152026
most citedSalsaNext: Fast, Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving

99 citations · 153 across the 23 of their papers we have counts for

collaborators

24 papers

math.DS2026

Infectious behaviour: Simulating the effects of communication and social influence on pathogen transmission in crowds

Sophia Johanna Wagner, Anne Templeton, Gerta Köster

Public health measures at mass gatherings work only if people follow them, and adherence depends both on how instructions are communicated and what others do. We link these behavio…

astro-ph.IM2026

EPIMETHEUS: Effective PSF inferred from mosaics

Pietro Benotto, Benedetta Vulcani, Vittoria Altomonte

Accurate knowledge of the point spread function (PSF) is essential for a wide range of astronomical applications, from astrometry to precision photometry. However, deriving a robus…

cs.CV2026

LRC-WeatherNet: LiDAR, RADAR, and Camera Fusion Network for Real-time Weather-type Classification in Autonomous Driving

Nour Alhuda Albashir, Lars Pernickel, Danial Hamoud +2

Autonomous vehicles face major perception and navigation challenges in adverse weather such as rain, fog, and snow, which degrade the performance of LiDAR, RADAR, and RGB camera se…

cs.CV2025

REHEARSE-3D: A Multi-modal Emulated Rain Dataset for 3D Point Cloud De-raining

Abu Mohammed Raisuddin, Jesper Holmblad, Hamed Haghighi +4

Sensor degradation poses a significant challenge in autonomous driving. During heavy rainfall, the interference from raindrops can adversely affect the quality of LiDAR point cloud…

cs.CV2025

Real-Time Manipulation Action Recognition with a Factorized Graph Sequence Encoder

Enes Erdogan, Eren Erdal Aksoy, Sanem Sariel

Recognition of human manipulation actions in real-time is essential for safe and effective human-robot interaction and collaboration. The challenge lies in developing a model that…

cs.CV2023

Semantics-aware LiDAR-Only Pseudo Point Cloud Generation for 3D Object Detection

Tiago Cortinhal, Idriss Gouigah, Eren Erdal Aksoy

Although LiDAR sensors are crucial for autonomous systems due to providing precise depth information, they struggle with capturing fine object details, especially at a distance, du…