activity
20142022
most citedCMRNet: Camera to LiDAR-Map Registration

93 citations · 138 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV2022

Uncertainty-Aware DNN for Multi-Modal Camera Localization

Matteo Vaghi, Augusto Luis Ballardini, Simone Fontana +1

Camera localization, i.e., camera pose regression, represents an important task in computer vision since it has many practical applications such as in the context of intelligent ve…

cs.RO2020

A Termination Criterion for Probabilistic PointClouds Registration

Simone Fontana, Domenico G. Sorrenti

Probabilistic Point Clouds Registration (PPCR) is an algorithm that, in its multi-iteration version, outperformed state of the art algorithms for local point clouds registration. H…

cs.RO2020★ 36 cited

A Benchmark for Point Clouds Registration Algorithms

Simone Fontana, Daniele Cattaneo, Augusto Luis Ballardini +2

Point clouds registration is a fundamental step of many point clouds processing pipelines; however, most algorithms are tested on data that are collected ad-hoc and not shared with…

cs.CV2019

Global visual localization in LiDAR-maps through shared 2D-3D embedding space

Daniele Cattaneo, Matteo Vaghi, Simone Fontana +2

Global localization is an important and widely studied problem for many robotic applications. Place recognition approaches can be exploited to solve this task, e.g., in the autonom…

cs.CV2019★ 93 cited

CMRNet: Camera to LiDAR-Map Registration

Daniele Cattaneo, Matteo Vaghi, Augusto Luis Ballardini +3

In this paper we present CMRNet, a realtime approach based on a Convolutional Neural Network to localize an RGB image of a scene in a map built from LiDAR data. Our network is not…

cs.RO2014★ 9 cited

ira_laser_tools: a ROS LaserScan manipulation toolbox

Augusto Luis Ballardini, Simone Fontana, Axel Furlan +1

Laser scanners are sensors of widespread use in robotic applications. Under the Robot Operating System (ROS) the information generated by laser scanners can be conveyed by either L…