3 citations · 6 across the 6 of their papers we have counts for
6 papers
VZCrash: A Large-Scale IMU Dataset of Ego-Vehicle Crashes
Tommaso Bianconcini, Henrique Piñeiro Monteagudo, Aurel Pjetri +2
We introduce VZCrash, the largest publicly available dataset of real-world vehicle collision data featuring Inertial Measurement Unit (IMU) telemetry. The dataset contains more tha…
Enhancing Multimodal Large Language Models for Safety-Critical Driving Video Analysis
Tomaso Trinci, Henrique Piñeiro Monteagudo, Leonardo Taccari
Recent advancements in Multimodal Large Language Models (MLLMs) have demonstrated impressive capabilities in general visual understanding. However, their application to safety-crit…
Review of Machine Learning for Real-Time Analysis at the Large Hadron Collider experiments ALICE, ATLAS, CMS and LHCb
Laura Boggia, Carlos Cocha, Fotis Giasemis +11
The field of high energy physics (HEP) has seen a marked increase in the use of machine learning (ML) techniques in recent years. The proliferation of applications has revolutionis…
An object detection approach for lane change and overtake detection from motion profiles
Andrea Benericetti, Niccolò Bellaccini, Henrique Piñeiro Monteagudo +2
In the application domain of fleet management and driver monitoring, it is very challenging to obtain relevant driving events and activities from dashcam footage while minimizing t…
RendBEV: Semantic Novel View Synthesis for Self-Supervised Bird's Eye View Segmentation
Henrique Piñeiro Monteagudo, Leonardo Taccari, Aurel Pjetri +2
Bird's Eye View (BEV) semantic maps have recently garnered a lot of attention as a useful representation of the environment to tackle assisted and autonomous driving tasks. However…
ViewpointDepth: A New Dataset for Monocular Depth Estimation Under Viewpoint Shifts
Aurel Pjetri, Stefano Caprasecca, Leonardo Taccari +6
Monocular depth estimation is a critical task for autonomous driving and many other computer vision applications. While significant progress has been made in this field, the effect…