activity
20182020
most citedCMRNet++: Map and Camera Agnostic Monocular Visual Localization in LiDAR Maps

14 citations · 15 across the 2 of their papers we have counts for

collaborators

5 papers

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.CV202014 cited

CMRNet++: Map and Camera Agnostic Monocular Visual Localization in LiDAR Maps

Daniele Cattaneo, Domenico Giorgio Sorrenti, Abhinav Valada

Localization is a critically essential and crucial enabler of autonomous robots. While deep learning has made significant strides in many computer vision tasks, it is still yet to…

cs.RO20201 cited

Vehicle Ego-Lane Estimation with Sensor Failure Modeling

Augusto Luis Ballardini, Daniele Cattaneo, Rubén Izquierdo +4

We present a probabilistic ego-lane estimation algorithm for highway-like scenarios that is designed to increase the accuracy of the ego-lane estimate, which can be obtained relyin…

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.CV2018

A dataset for benchmarking vision-based localization at intersections

Augusto L. Ballardini, Daniele Cattaneo, Domenico G. Sorrenti

In this report we present the work performed in order to build a dataset for benchmarking vision-based localization at intersections, i.e., a set of stereo video sequences taken fr…