93 citations · 131 across the 5 of their papers we have counts for
5 papers
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…
LCDNet: Deep Loop Closure Detection and Point Cloud Registration for LiDAR SLAM
Daniele Cattaneo, Matteo Vaghi, Abhinav Valada
Loop closure detection is an essential component of Simultaneous Localization and Mapping (SLAM) systems, which reduces the drift accumulated over time. Over the years, several dee…
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…
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…
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…