93 citations · 223 across the 15 of their papers we have counts for
15 papers
From Correlation to Causation in Lane Change Prediction for Automated Driving: A Causal Explanation Framework
Mohamed Manzour, Aditya Kumar, Augusto Luis Ballardini +1
Lane-change prediction is a central task in intelligent vehicles, where early maneuver anticipation can support safer decision-making. However, many existing approaches mainly lear…
Human-like Semantic Navigation for Autonomous Driving using Knowledge Representation and Large Language Models
Augusto Luis Ballardini, Miguel Ángel Sotelo
Achieving full automation in self-driving vehicles remains a challenge, especially in dynamic urban environments where navigation requires real-time adaptability. Existing systems…
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…
Vehicle Lane Change Prediction based on Knowledge Graph Embeddings and Bayesian Inference
M. Manzour, A. Ballardini, R. Izquierdo +1
Prediction of vehicle lane change maneuvers has gained a lot of momentum in the last few years. Some recent works focus on predicting a vehicle's intention by predicting its trajec…
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…
Model Guided Road Intersection Classification
Augusto Luis Ballardini, Álvaro Hernández, Miguel Ángel Sotelo
Understanding complex scenarios from in-vehicle cameras is essential for safely operating autonomous driving systems in densely populated areas. Among these, intersection areas are…
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…
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…
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…
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…
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…
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…
ira_laser_tools: a ROS LaserScan manipulation toolbox
Augusto Luis Ballardini, Simone Fontana, Axel Furlan +1
Laser scanners are sensors of widespread use in robotic applications. Under the Robot Operating System (ROS) the information generated by laser scanners can be conveyed by either L…