activity
20182021
most citedWiFiNet: WiFi-based indoor localisation using CNNs

55 citations · 68 across the 3 of their papers we have counts for

collaborators

6 papers

cs.LG202155 cited

WiFiNet: WiFi-based indoor localisation using CNNs

Noelia Hernández, Ignacio Parra, Héctor Corrales +4

Different technologies have been proposed to provide indoor localisation: magnetic field, bluetooth , WiFi, etc. Among them, WiFi is the one with the highest availability and highe…

cs.RO202112 cited

Fail-Aware LIDAR-Based Odometry for Autonomous Vehicles

Iván García Daza, Monica Rentero, Carlota Salinas Maldonado +4

Autonomous driving systems are set to become a reality in transport systems and, so, maximum acceptance is being sought among users. Currently, the most advanced architectures requ…

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…

cs.NE2018

A tutorial on Particle Swarm Optimization Clustering

Augusto Luis Ballardini

This paper proposes a tutorial on the Data Clustering technique using the Particle Swarm Optimization approach. Following the work proposed by Merwe et al. here we present an in-de…