93 citations · 153 across the 9 of their papers we have counts for
5 papers · 1 filter
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…
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…
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…
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…