activity
20202024
most citedWiFiNet: WiFi-based indoor localisation using CNNs

55 citations · 62 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG20241 cited

RAG-based Explainable Prediction of Road Users Behaviors for Automated Driving using Knowledge Graphs and Large Language Models

Mohamed Manzour Hussien, Angie Nataly Melo, Augusto Luis Ballardini +3

Prediction of road users' behaviors in the context of autonomous driving has gained considerable attention by the scientific community in the last years. Most works focus on predic…

cs.CV20213 cited

Predicting Vehicles Trajectories in Urban Scenarios with Transformer Networks and Augmented Information

A. Quintanar, D. Fernández-Llorca, I. Parra +2

Understanding the behavior of road users is of vital importance for the development of trajectory prediction systems. In this context, the latest advances have focused on recurrent…

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.CV20202 cited

Vehicle Trajectory Prediction in Crowded Highway Scenarios Using Bird Eye View Representations and CNNs

R. Izquierdo, A. Quintanar, I. Parra +2

This paper describes a novel approach to perform vehicle trajectory predictions employing graphic representations. The vehicles are represented using Gaussian distributions into a…

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…