15 citations · 28 across the 6 of their papers we have counts for
6 papers
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…
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…
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…
Sensing Anomalies as Potential Hazards: Datasets and Benchmarks
Dario Mantegazza, Carlos Redondo, Fran Espada +3
We consider the problem of detecting, in the visual sensing data stream of an autonomous mobile robot, semantic patterns that are unusual (i.e., anomalous) with respect to the robo…
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…
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…