RAILway Ground truth and digital mAP

Informations projet

RAILGAP

N° de convention de subvention: 101004129

DOI

10.3030/101004129

Projet clôturé

Date de signature de la CE 6 Novembre 2020

Date de début 1 Janvier 2021

Date de fin 30 Septembre 2024

Financé au titre de

• INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies – Space

Coût total

€ 3 137 606,53

Contribution de l’UE

€ 2 722 080,25

Coordonné par

RETE FERROVIARIA ITALIANA
Italy

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

Documents, reports (9)

Sensor Fusion Fault Detection and Exclusion Specification second version

This deliverable is a report containing the recommended Fault detection and Exclusion techniques and algorithms and their specification to be used within the sensor fusion algorithm in order to cope with the individual sensor fault modes and hazardous situations that cannot be tackle individually by each sensor technology (second version)

High Level Logical Functional Architecture of the RAILGAP Infrastructure

The deliverable shall include the description of Logical Functional Architecture of the infrastructure capable of meeting the identified user requirements

Sensor Fault Detector and Discard Techniques and Performance Models second version

This deliverable is a report specifying the list of suitable sensor fault detection and discard algorithms and mechanisms that are recommended to be used for each sensor measurement and individual sensor processing methods. The performance assessment and related models after applying the FDD functions are also here described (second version)

Definition of the Methodology for Ground Truth second version

This deliverable shall be a technical note including final specifications of Ground Truth Definition, and Validation Test Cases Definition.

Sensor fusion Algorithms Design second version

This deliverable is a report that specifies the necessary sensor fusion and designs aspects to be considered in order to provide a multisensory precise and robust estimation. This includes the different techniques and methods to assess the integrity risk of the solution as well as the derivation of confidence intervals (second version)

Dissemination and Exploitation Report

This document will summarise all communication, dissemination and exploitation activities and their impact.

Trackside Digital Map Specification and Definition second version

Deliverable (Report) including final specifications of trackside digital map Definition

Sensor Error Models in Railway Environment first version

This deliverable is a report specifying the identified sensor fault modes and degraded situations in the railway environment and the deterministic and stochastic error models for the different measurement error sources of each sensor

Sensor Error Models in Railway Environment second version

This deliverable is a report specifying the identified sensor fault modes and degraded situations in the railway environment and the deterministic and stochastic error models for the different measurement error sources of each sensor (second version)

Demonstrators, pilots, prototypes (2)

Measurement Infrastructure Demonstrator

The deliverable shall be the demonstrator of the working Measurement Infrastructure in a Laboratory;

Demonstration of the Ground Truth

This deliverable shall be a Laboratory Demonstrator which computes the Ground Truth behaviour and generates the corresponding output data and graphical representation;

Open Research Data Pilot (2)

User Requirements Document related to Digital Map and Reference Measurement Values & Procedures

The deliverable shall include the description of the user needs in terms of functional and notfunctional requirements of the HW SW infrastructure to build and delivery Digital Maps and Reference Measurement Values and related Reference Measurement Procedures ie Ground Truths

Dissemination Plan

The document will outline the communication strategy implemented in the project as well as will detail the methods to be used for dissemination and communication

Publications

Conference proceedings (4)

GNSS, IMU, camera and LIDAR technology characterization for railway ground truth and digital map generation

Auteurs: Omar Garcia Crespillo, Ana Kliman, Alessandro Neri, Alessia Vennarini, Agostino Ruggeri, Juliette Marais, Juan Arroyo, María-Eva Ramírez, Giusy Emmanuele, Salvatore Sabina
Publié dans: Transportation Research Procedia, 2022
Éditeur: ELSEVIER - Transportation Research Arena
DOI: 10.1016/j.trpro.2023.11.532

Permanent train-side GNSS multipath characterization considering time-correlation for safe railway localization

Auteurs: Ana Kliman, Anja Grosch, Omar Garcia Crespillo
Publié dans: Engineering Proceedings - MDPI European Navigation Conference 2024 topic Safety Critical Navigation, 2024
Éditeur: MDPI in European Navigation Conference 2024 topic Safety Critical Navigation
DOI: 10.3390/0

User Needs for the development of new methodologies and R&D tools for building a Railway Digital Map and for the experimental performance evaluation of On-Board subsystems

Auteurs: Giusy EMMANUELE, Massimiliano CIAFFI, Omar GARCIA CRESPILLO, Alessandro NERI, Alessia VENNARINI, Agostino RUGGERI, Juliette MARAIS, Susana HERRANZ de ANDRES, Jorge Ignacio IGLESIAS DIAZ, Daniel MOLINA MARINAS, Ricardo CAMPO CASCALLANA, Antonio ÁGUILA MARTÍNEZ-CASARIEGO, Jose Conrado Martinez ACEVEDO, Fabio SENESI, Salvatore SABINA
Publié dans: World Congress on Railway Research WCRR (6-10 June 2022), 2022
Éditeur: World Congress on Railway Research WCRR

Railway Ground Truth and Digital Map based on GNSS and multi-sensor big-data acquisition

Auteurs: Alessandro Neri, Alessia Vennarini, Agostino Ruggeri, Juliette Marais, Nourdine Aït Tmazirte, Omar Garcia Crespillo, Anja Grosch, María-Eva Ramírez, Juan-Gabriel Arroyo, Massimiliano Ciaffi, Giusy Emmanuele, Vittorio Cataffo, Ricardo Campo Cascallana, Daniel Molina Marinas, Alessandro Valentini, Stefano Neri, Fabrizio Memmi, Ramiro Valdés Alvarez-Palencia, Gianluigi Lauro, Pasquale Natale
Publié dans: Springer book series, Lecture Notes in Mobility, 2024
Éditeur: Springer book series, Lecture Notes in Mobility