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Vinzenz Dallabetta

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV4
ORCID 0000-0002-5632-5344

identity via Semantic Scholar / OpenAlex

most citedDetection of Condensed Vehicle Gas Exhaust in LiDAR Point Clouds

7 citations · 7 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2023

Simultaneous Clutter Detection and Semantic Segmentation of Moving Objects for Automotive Radar Data

Johannes Kopp, Dominik Kellner, Aldi Piroli +2

The unique properties of radar sensors, such as their robustness to adverse weather conditions, make them an important part of the environment perception system of autonomous vehic…

cs.CV2023

Towards Robust 3D Object Detection In Rainy Conditions

Aldi Piroli, Vinzenz Dallabetta, Johannes Kopp +3

LiDAR sensors are used in autonomous driving applications to accurately perceive the environment. However, they are affected by adverse weather conditions such as snow, fog, and ra…

cs.CV2023

LS-VOS: Identifying Outliers in 3D Object Detections Using Latent Space Virtual Outlier Synthesis

Aldi Piroli, Vinzenz Dallabetta, Johannes Kopp +3

LiDAR-based 3D object detectors have achieved unprecedented speed and accuracy in autonomous driving applications. However, similar to other neural networks, they are often biased…

cs.CV2022★ 7 cited

Detection of Condensed Vehicle Gas Exhaust in LiDAR Point Clouds

Aldi Piroli, Vinzenz Dallabetta, Marc Walessa +3

LiDAR sensors used in autonomous driving applications are negatively affected by adverse weather conditions. One common, but understudied effect, is the condensation of vehicle gas…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.