activity
20162021
most citedMesh-based Camera Pairs Selection and Occlusion-Aware Masking for Mesh Refinement

13 citations · 22 across the 9 of their papers we have counts for

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5 papers · 1 filter

cs.RO2021

Two algorithms for vehicular obstacle detection in sparse pointcloud

Simone Mentasti, Matteo Matteucci, Stefano Arrigoni +1

One of the main components of an autonomous vehicle is the obstacle detection pipeline. Most prototypes, both from research and industry, rely on lidars for this task. Pointcloud i…

cs.RO2021

ART-SLAM: Accurate Real-Time 6DoF LiDAR SLAM

Matteo Frosi, Matteo Matteucci

Real-time six degree-of-freedom pose estimation with ground vehicles represents a relevant and well studied topic in robotics, due to its many applications, such as autonomous driv…

cs.RO2020

Advances in centerline estimation for autonomous lateral control

Paolo Cudrano, Simone Mentasti, Matteo Matteucci +3

The ability of autonomous vehicles to maintain an accurate trajectory within their road lane is crucial for safe operation. This requires detecting the road lines and estimating th…

cs.RO20192 cited

Towards Affordance Prediction with Vision via Task Oriented Grasp Quality Metrics

Luca Cavalli, Gianpaolo Di Pietro, Matteo Matteucci

While many quality metrics exist to evaluate the quality of a grasp by itself, no clear quantification of the quality of a grasp relatively to the task the grasp is used for has be…

cs.RO20185 cited

Real-time CPU-based large-scale 3D mesh reconstruction

Enrico Piazza, Andrea Romanoni, Matteo Matteucci

In Robotics, especially in this era of autonomous driving, mapping is one key ability of a robot to be able to navigate through an environment, localize on it and analyze its trave…