3 citations · 4 across the 6 of their papers we have counts for
5 papers · 1 filter
FLaRA: Predicting Future Latent Representations for Accident Anticipation
Lorenzo Caselli, Tomaso Trinci, Tommaso Bianconcini +4
Anticipating traffic accidents from dashcam videos is a critical challenge in intelligent transportation systems. Existing methods typically map visual context directly to a collis…
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…
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…