activity
20182022
most citedAn Outlier Exposure Approach to Improve Visual Anomaly Detection Performance for Mobile Robots

15 citations · 22 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2022

Challenges in Visual Anomaly Detection for Mobile Robots

Dario Mantegazza, Alessandro Giusti, Luca M. Gambardella +2

We consider the task of detecting anomalies for autonomous mobile robots based on vision. We categorize relevant types of visual anomalies and discuss how they can be detected by u…

cs.CV202215 cited

An Outlier Exposure Approach to Improve Visual Anomaly Detection Performance for Mobile Robots

Dario Mantegazza, Alessandro Giusti, Luca Maria Gambardella +1

We consider the problem of building visual anomaly detection systems for mobile robots. Standard anomaly detection models are trained using large datasets composed only of non-anom…

cs.CV2021

Training Lightweight CNNs for Human-Nanodrone Proximity Interaction from Small Datasets using Background Randomization

Marco Ferri, Dario Mantegazza, Elia Cereda +5

We consider the task of visually estimating the pose of a human from images acquired by a nearby nano-drone; in this context, we propose a data augmentation approach based on synth…

cs.CV20207 cited

Semantic Segmentation on Swiss3DCities: A Benchmark Study on Aerial Photogrammetric 3D Pointcloud Dataset

Gülcan Can, Dario Mantegazza, Gabriele Abbate +2

We introduce a new outdoor urban 3D pointcloud dataset, covering a total area of 2.7 , sampled from three Swiss cities with different characteristics. The dataset is manually…

cs.RO2018

Vision-based Control of a Quadrotor in User Proximity: Mediated vs End-to-End Learning Approaches

Dario Mantegazza, Jérôme Guzzi, Luca M. Gambardella +1

We consider the task of controlling a quadrotor to hover in front of a freely moving user, using input data from an onboard camera. On this specific task we compare two widespread…