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